Below are courses offered in Statistics. For uptodate information regarding course information for registration, please visit Murphy Online.
Fall 2019 Courses
Course  Section  Title  Days  Time  Location  

STAT 220  01  Statistics I  M  W  F    0935  1040  JRC 126  
Description of course Genetics B/ Lab: 
Days of Week:M  W  F   Time of Day:0935  1040 Location:JRC 126 Course Registration Number:40711 (View in ClassFinder) Credit Hours:4 Instructor:Mark E. Werness NOTE: Students registering for lecture STAT 220 01 must also register for lab 51, 52, or 53. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  02  Statistics I  M  W  F    1055  1200  JRC 126  
Description of course Genetics B/ Lab: 
Days of Week:M  W  F   Time of Day:1055  1200 Location:JRC 126 Course Registration Number:41661 (View in ClassFinder) Credit Hours:4 Instructor:Mark E. Werness NOTE: Students registering for lecture STAT 220 02 must also register for lab 54, 55, or 56. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  03  Statistics I   T  R     0955  1135  OWS 150  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:0955  1135 Location:OWS 150 Course Registration Number:40712 (View in ClassFinder) Credit Hours:4 Instructor:Sergey S. Berg NOTE: Students registering for lecture STAT 220 03 must also register for lab 57, 58, or 59. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  04  Statistics I   T  R     1330  1510  OWS 150  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1330  1510 Location:OWS 150 Course Registration Number:40713 (View in ClassFinder) Credit Hours:4 Instructor:Amelia A. McNamara NOTE: Students registering for lecture STAT 220 04 must also register for lab 60, 61, or 62. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  05  Statistics I   T  R     1525  1700  OWS 150  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1525  1700 Location:OWS 150 Course Registration Number:40714 (View in ClassFinder) Credit Hours:4 Instructor:Erin M. Curran NOTE: Students registering for lecture STAT 220 05 must also register for lab 63, 64, or 65. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  51  Statistics I (Lab)     R     0800  0940  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0800  0940 Location:OSS 431 Course Registration Number:40715 (View in ClassFinder) Credit Hours:0 Instructor:Daniel G. Brick This lab section will use MINITAB for data analysis. NOTE: Students registering for this lab must also register for STAT 220 01 lecture. Schedule Details


STAT 220  52  Statistics I (Lab)     R     0800  0940  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0800  0940 Location:OSS 432 Course Registration Number:40716 (View in ClassFinder) Credit Hours:0 Instructor:David L. Ehren This lab section will use EXCEL for data analysis. NOTE: Students registering for this lab must also register for STAT 220 01 lecture. Schedule Details


STAT 220  53  Statistics I (Lab)     R     0955  1135  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0955  1135 Location:OSS 431 Course Registration Number:40717 (View in ClassFinder) Credit Hours:0 Instructor:Erin M. Curran This lab section will use SPSS for data analysis. NOTE: Students registering for this lab must also register for STAT 220 01 lecture. Schedule Details


STAT 220  54  Statistics I (Lab)   T       1330  1510  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:1330  1510 Location:OSS 432 Course Registration Number:40718 (View in ClassFinder) Credit Hours:0 Instructor:Erin M. Curran This lab section will use MINITAB for data analysis. NOTE: Students registering for this lab must also register for STAT 220 02 lecture. Schedule Details


STAT 220  55  Statistics I (Lab)   T       1525  1700  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:1525  1700 Location:OSS 432 Course Registration Number:40719 (View in ClassFinder) Credit Hours:0 Instructor:Sergey S. Berg This lab section will use SPSS for data analysis. NOTE: Students registering for this lab must also register for STAT 220 02 lecture. Schedule Details


STAT 220  56  Statistics I (Lab)   T       1730  1915  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:1730  1915 Location:OSS 432 Course Registration Number:40720 (View in ClassFinder) Credit Hours:0 Instructor:David L. Ehren This lab section will use EXCEL for data analysis. NOTE: Students registering for this lab must also register for STAT 220 02 lecture. Schedule Details


STAT 220  57  Statistics I (Lab)     R     1330  1510  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1330  1510 Location:OSS 432 Course Registration Number:40721 (View in ClassFinder) Credit Hours:0 Instructor:Adam D. Kay This lab section will use MINITAB for data analysis. NOTE: Students registering for this lab must also register for STAT 220 03 lecture. Schedule Details


STAT 220  58  Statistics I (Lab)     R     1525  1700  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1525  1700 Location:OSS 432 Course Registration Number:40722 (View in ClassFinder) Credit Hours:0 Instructor:Sergey S. Berg This lab section will use JMP for data analysis. NOTE: Students registering for this lab must also register for STAT 220 03 lecture. Schedule Details


STAT 220  59  Statistics I (Lab)     R     1730  1915  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1730  1915 Location:OSS 432 Course Registration Number:40884 (View in ClassFinder) Credit Hours:0 Instructor:David L. Ehren This lab section will use EXCEL for data analysis. NOTE: Students registering for this lab must also register for STAT 220 03 lecture. Schedule Details


STAT 220  60  Statistics I (Lab)     R     1525  1700  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1525  1700 Location:OSS 428 Course Registration Number:40723 (View in ClassFinder) Credit Hours:0 Instructor:James P. Normington This lab section will use R for data analysis. NOTE: Students registering for this lab must also register for STAT 220 04 lecture. Schedule Details


STAT 220  61  Statistics I (Lab)     R     1730  1915  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1730  1915 Location:OSS 431 Course Registration Number:42145 (View in ClassFinder) Credit Hours:0 Instructor:Sharon X. Ling This lab section will use JMP for data analysis. NOTE: Students registering for this lab must also register for STAT 220 04 lecture. Schedule Details


STAT 220  62  Statistics I (Lab)     R     1730  1915  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1730  1915 Location:OSS 428 Course Registration Number:42146 (View in ClassFinder) Credit Hours:0 Instructor:James P. Normington This lab section will use R for data analysis. NOTE: Students registering for this lab must also register for STAT 220 04 lecture. Schedule Details


STAT 220  63  Statistics I (Lab)     R     0800  0940  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0800  0940 Location:OSS 428 Course Registration Number:42147 (View in ClassFinder) Credit Hours:0 Instructor:Marc D. Isaacson This lab section will use MINITAB for data analysis. NOTE: Students registering for this lab must also register for STAT 220 05 lecture. Schedule Details


STAT 220  64  Statistics I (Lab)     R     0955  1135  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0955  1135 Location:OSS 432 Course Registration Number:42148 (View in ClassFinder) Credit Hours:0 Instructor:Marc D. Isaacson This lab section will use EXCEL for data analysis. NOTE: Students registering for this lab must also register for STAT 220 05 lecture. Schedule Details


STAT 220  65  Statistics (Lab)   T       1730  1915  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:1730  1915 Location:OSS 431 Course Registration Number:42551 (View in ClassFinder) Credit Hours:0 Instructor:Daniel G. Brick This lab section will use EXCEL for data analysis. NOTE: Students registering for this lab must also register for STAT 220 05 lecture. Schedule Details


STAT 314  01  Mathematical Statistics   T  R     0955  1135  OSS 226  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:0955  1135 Location:OSS 226 Course Registration Number:40755 (View in ClassFinder) Credit Hours:4 Instructor:Christina P. Knudson Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; nonparametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who receive credit for MATH 314 may not receive credit for MATH 303. Schedule Details


STAT 314  02  Mathematical Statistics   T  R     1525  1700  OSS 226  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1525  1700 Location:OSS 226 Course Registration Number:40985 (View in ClassFinder) Credit Hours:4 Instructor:Christina P. Knudson Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; nonparametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who receive credit for MATH 314 may not receive credit for MATH 303. Schedule Details


STAT 320  D01  Statistics II  M  W      1335  1510  OSS 429  
Description of course Genetics B/ Lab: 
Days of Week:M  W     Time of Day:1335  1510 Location:OSS 429 Course Registration Number:41513 (View in ClassFinder) Credit Hours:4 Instructor:Amelia A. McNamara Applied linear regression models. Simple linear regression; introduction, inferences, diagnostics, remedial measures, simultaneous inference. Matrix approach in linear regression. Multiple regression; inference, remedial measures, extra sums of squares, partial determinations, standardized models, use of indicator and mixed variables, polynomial regression, model selection and validation, diagnostics, remedial measures, multicollinearity and effects, autocorrelation. Single and multifactor analysis of variance: analysis of factor level means, interactions, inferences, diagnostics and remedial measures. A statistical package must be used as tool. Optional topics may include: logistic regression, design of experiments, and forecasting. Prerequisite: One of the following, STAT 201, STAT 220, STAT 333, MATH 303 Schedule Details


STAT 320  D02  Statistics II  M  W      1525  1700  OSS 429  
Description of course Genetics B/ Lab: 
Days of Week:M  W     Time of Day:1525  1700 Location:OSS 429 Course Registration Number:42550 (View in ClassFinder) Credit Hours:4 Instructor:Amelia A. McNamara Applied linear regression models. Simple linear regression; introduction, inferences, diagnostics, remedial measures, simultaneous inference. Matrix approach in linear regression. Multiple regression; inference, remedial measures, extra sums of squares, partial determinations, standardized models, use of indicator and mixed variables, polynomial regression, model selection and validation, diagnostics, remedial measures, multicollinearity and effects, autocorrelation. Single and multifactor analysis of variance: analysis of factor level means, interactions, inferences, diagnostics and remedial measures. A statistical package must be used as tool. Optional topics may include: logistic regression, design of experiments, and forecasting. Prerequisite: One of the following, STAT 201, STAT 220, STAT 333, MATH 303 Schedule Details


STAT 333  D01  Applied Statistical Methods  M  W      1525  1700  OSS 214  
Description of course Genetics B/ Lab: 
Days of Week:M  W     Time of Day:1525  1700 Location:OSS 214 Course Registration Number:42599 (View in ClassFinder) Credit Hours:
Instructor:Arkady Shemyakin Regression and exponential smoothing methods; Stochastic Time Series: auto and crosscorrelation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor Schedule Details


STAT 400  01  Data Mining & Machine Learning  M  W      1525  1700  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week:M  W     Time of Day:1525  1700 Location:OSS 431 Course Registration Number:41689 (View in ClassFinder) Credit Hours:4 Instructor:Mark E. Werness (Formerly IDTH 400) Introduction to statistical learning methods, from a statistical and computational perspective, to deal with massive and complex data. Topics include: Introduction; creating a project and diagram. Data preparation; defining and exploring data sources. Pattern discovery; cluster analysis, market basket analysis. Decision trees; cultivating and pruning decision trees, autonomous tree growth. Regression; transforming inputs, categorical inputs, polynomial regression. Neural Networks; input selection, stopped training. Model assessment; fit statistics, graphs, separate sampling. Model implementation; scored data sets, score code models. Applications. This course will give the basic ideas and intuition behind these methods, and special emphasis will be placed on their application through statistical software. Prerequisites: CISC 130 or 131, and MATH 113, and STAT 320 or 333. Schedule Details


STAT 490  01  Topics:Dis. Prob. Model & Sims   T  R     1330  1510  OSS 429  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1330  1510 Location:OSS 429 Course Registration Number:42575 (View in ClassFinder) Credit Hours:4 Instructor:Sergey S. Berg The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule Schedule Details

JTerm 2020 Courses
Course  Section  Title  Days  Time  Location  

STAT 201  01  Introductory Statistics II   T W R F    0800  0940  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week: T W R F   Time of Day:0800  0940 Location:OSS 431 Course Registration Number:10050 (View in ClassFinder) Credit Hours:2 Instructor:Marc D. Isaacson (Formerly IDTH 201) This course is for students desiring to satisfy the coverage of STAT 220 ( a full semester of statistics), when less than one full semester of statistics has been taken. Review of inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Introduction to basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. Prerequisite: STAT 206 (IDTH 206) or at least .35 semester, but less than one semester of statistics. Note: Students who receive credit for STAT 201 may not receive credit for STAT 220. Schedule Details


STAT 220  01  Statistics I   T W R F    1000  1300  OSS LL18  
Description of course Genetics B/ Lab: 
Days of Week: T W R F   Time of Day:1000  1300 Location:OSS LL18 Course Registration Number:10028 (View in ClassFinder) Credit Hours:4 Instructor:Erin M. Curran Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105, 108, 109, 111, or 113. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  51  Statistics I   T W R F    1330  1510  OSS 429  
Description of course Genetics B/ Lab: 
Days of Week: T W R F   Time of Day:1330  1510 Location:OSS 429 Course Registration Number:10228 (View in ClassFinder) Credit Hours:0 Instructor:Erin M. Curran Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105, 108, 109, 111, or 113. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details

Spring 2020 Courses
Course  Section  Title  Days  Time  Location  

STAT 220  01  Statistics I  M  W  F    1055  1200  JRC 126  
Description of course Genetics B/ Lab: 
Days of Week:M  W  F   Time of Day:1055  1200 Location:JRC 126 Course Registration Number:20597 (View in ClassFinder) Credit Hours:4 Instructor:Mark E. Werness NOTE: Students registering for lecture STAT 220 01 must also register for lab 51, 52, or 53. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  02  Statistics I  M  W  F    1215  1320  JRC 126  
Description of course Genetics B/ Lab: 
Days of Week:M  W  F   Time of Day:1215  1320 Location:JRC 126 Course Registration Number:20598 (View in ClassFinder) Credit Hours:4 Instructor:Mark E. Werness NOTE: Students registering for lecture STAT 220 02 must also register for lab 54, 55, or 56. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  03  Statistics I  M  W      1335  1510  JRC 126  
Description of course Genetics B/ Lab: 
Days of Week:M  W     Time of Day:1335  1510 Location:JRC 126 Course Registration Number:20599 (View in ClassFinder) Credit Hours:4 Instructor:Amelia A. McNamara NOTE: Students registering for lecture STAT 220 03 must also register for lab 57, 58, or 59. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  04  Statistics I   T  R     0955  1135  OWS 150  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:0955  1135 Location:OWS 150 Course Registration Number:20600 (View in ClassFinder) Credit Hours:4 Instructor:Erin M. Curran NOTE: Students registering for lecture STAT 220 04 must also register for lab 60, 61, or 62. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  05  Statistics I   T  R     1330  1510  OWS 150  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1330  1510 Location:OWS 150 Course Registration Number:20601 (View in ClassFinder) Credit Hours:4 Instructor:Sergey S. Berg NOTE: Students registering for lecture STAT 220 05 must also register for lab 63, 64, or 65. Formerly IDTH 220. Statistics I is composed of an indepth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and softwarespecific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201. Schedule Details


STAT 220  51  Statistics I (Lab)   T       0800  0940  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:0800  0940 Location:OSS 432 Course Registration Number:20602 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use JMP for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 01 lecture. Schedule Details


STAT 220  52  Statistics I (Lab)   T       1525  1700  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:1525  1700 Location:OSS 431 Course Registration Number:20603 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use SPSS for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 01 lecture. Schedule Details


STAT 220  53  Statistics I (Lab)     R     0800  0940  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0800  0940 Location:OSS 432 Course Registration Number:20604 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use JMP for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 01 lecture. Schedule Details


STAT 220  54  Statistics I (Lab)   T       0955  1135  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:0955  1135 Location:OSS 432 Course Registration Number:20605 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 02 lecture. Schedule Details


STAT 220  55  Statistics I (Lab)   T       1730  1915  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:1730  1915 Location:OSS 431 Course Registration Number:20606 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 02 lecture. Schedule Details


STAT 220  56  Statistics I (Lab)     R     0955  1135  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0955  1135 Location:OSS 432 Course Registration Number:20607 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 02 lecture. Schedule Details


STAT 220  57  Statistics I (Lab)   T       1330  1510  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week: T      Time of Day:1330  1510 Location:OSS 432 Course Registration Number:20608 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 03 lecture. Schedule Details


STAT 220  58  Statistics I (Lab)    W      1730  1915  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:  W     Time of Day:1730  1915 Location:OSS 432 Course Registration Number:20609 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 03 lecture. Schedule Details


STAT 220  59  Statistics I (Lab)     R     1330  1510  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1330  1510 Location:OSS 432 Course Registration Number:20610 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 03 lecture. Schedule Details


STAT 220  60  Statistics I (Lab)     R     1330  1510  OSS 429  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1330  1510 Location:OSS 429 Course Registration Number:21468 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use R for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 04 lecture. Schedule Details


STAT 220  61  Statistics I (Lab)     R     1525  1700  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1525  1700 Location:OSS 431 Course Registration Number:21602 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use SPSS for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 04 lecture. Schedule Details


STAT 220  62  Statistics I (Lab)     R     1525  1700  OSS 429  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1525  1700 Location:OSS 429 Course Registration Number:21603 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use R for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 04 lecture. Schedule Details


STAT 220  63  Statistics I     R     0800  0940  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0800  0940 Location:OSS 428 Course Registration Number:21604 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 05 lecture. Schedule Details


STAT 220  64  Statistics I (Lab)     R     0955  1135  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:0955  1135 Location:OSS 428 Course Registration Number:21605 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 05 lecture. Schedule Details


STAT 220  65  Statistics I (Lab)     R     1730  1915  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week:   R    Time of Day:1730  1915 Location:OSS 431 Course Registration Number:21606 (View in ClassFinder) Credit Hours:0 Instructor:Staff This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 05 lecture. Schedule Details


STAT 310  01  Biostatistics   T  R     1330  1510  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1330  1510 Location:OSS 428 Course Registration Number:20800 (View in ClassFinder) Credit Hours:4 Instructor:Erin M. Curran This course provides students with the knowledge and skills needed to effectively apply basic statistical methods in health related fields, such as Biology, Medicine, and Public Health. Students learn inferential statistical techniques involving topics in estimation, hypothesis testing, nonparametric methods, clinical trials, contingency tables, review of analysis of variance and linear regression, and a brief introduction to experimental design. Prerequisites: STAT 220. Schedule Details


STAT 314  01  Mathematical Statistics   T  R     1525  1700  OSS 227  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1525  1700 Location:OSS 227 Course Registration Number:20912 (View in ClassFinder) Credit Hours:4 Instructor:Christina P. Knudson Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; nonparametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who receive credit for MATH 314 may not receive credit for MATH 303. Schedule Details


STAT 333  D02  Applied Statistical Methods   T  R     0955  1135  OSS 333  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:0955  1135 Location:OSS 333 Course Registration Number:20923 (View in ClassFinder) Credit Hours:4 Instructor:Arkady Shemyakin Regression and exponential smoothing methods; Stochastic Time Series: auto and crosscorrelation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor Schedule Details


STAT 333  D03  Applied Statistical Methods   T  R     1330  1510  OSS 214  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1330  1510 Location:OSS 214 Course Registration Number:22582 (View in ClassFinder) Credit Hours:
Instructor:Arkady Shemyakin Regression and exponential smoothing methods; Stochastic Time Series: auto and crosscorrelation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor Schedule Details


STAT 336  01  Data Comm and Visualization  M  W  F    1055  1200  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week:M  W  F   Time of Day:1055  1200 Location:OSS 428 Course Registration Number:22949 (View in ClassFinder) Credit Hours:
Instructor:Amelia A. McNamara This course will prepare students to effectively communicate the insights from data analysis. The course will cover the three main methods of communicating information about dataâ€”visually, orally, and in writing. Students will learn to tailor their communication to their audience and create publicationready and boardroomready presentations of their results. Prerequisites: STAT 220 or STAT 314 Schedule Details


STAT 360  01  Advanced Statistical Software  M  W      1335  1510  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week:M  W     Time of Day:1335  1510 Location:OSS 428 Course Registration Number:21284 (View in ClassFinder) Credit Hours:4 Instructor:Sergey S. Berg (Formerly IDTH 360) This course introduces students to an advanced statistical software package to effectively apply statistical methods, in general. Students create data sets from raw data files, create variables within a data set, append and/or modify data sets, create subsets, then apply a whole host of statistical procedures, create graphs and produce reports. The course will be based on several leading advanced statistical software packages, which will be chosen from semester to semester to match the needs of the community. Prerequisites: STAT 220 or STAT 314 Schedule Details


STAT 360  02  Advanced Statistical Software   T  R     1525  1700  OSS 428  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1525  1700 Location:OSS 428 Course Registration Number:21653 (View in ClassFinder) Credit Hours:4 Instructor:Sergey S. Berg (Formerly IDTH 360) This course introduces students to an advanced statistical software package to effectively apply statistical methods, in general. Students create data sets from raw data files, create variables within a data set, append and/or modify data sets, create subsets, then apply a whole host of statistical procedures, create graphs and produce reports. The course will be based on several leading advanced statistical software packages, which will be chosen from semester to semester to match the needs of the community. Prerequisites: STAT 220 or STAT 314 Schedule Details


STAT 370  01  Bayesian Models   T  R     1525  1700  OSS 214  
Description of course Genetics B/ Lab: 
Days of Week: T  R    Time of Day:1525  1700 Location:OSS 214 Course Registration Number:21657 (View in ClassFinder) Credit Hours:4 Instructor:Arkady Shemyakin The course covers a range of statistical models used in applications including: Actuarial Science, Finance, Health and Social Sciences. It is oriented towards practical model construction and problem solving. Review of parametric statistical models and principles of statistical inference. Application to loss and ruin models. Construction of empirical and parametric models and model selection. Credibility theory. Simulation. Offered every other year. Prerequisite: MATH 313 and STAT 314 or STAT 220 and STAT 320 Schedule Details


STAT 400  01  Data Mining & Machine Learning  M  W      1525  1700  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:M  W     Time of Day:1525  1700 Location:OSS 432 Course Registration Number:22390 (View in ClassFinder) Credit Hours:4 Instructor:Mark E. Werness (Formerly IDTH 400) Introduction to statistical learning methods, from a statistical and computational perspective, to deal with massive and complex data. Topics include: Introduction; creating a project and diagram. Data preparation; defining and exploring data sources. Pattern discovery; cluster analysis, market basket analysis. Decision trees; cultivating and pruning decision trees, autonomous tree growth. Regression; transforming inputs, categorical inputs, polynomial regression. Neural Networks; input selection, stopped training. Model assessment; fit statistics, graphs, separate sampling. Model implementation; scored data sets, score code models. Applications. This course will give the basic ideas and intuition behind these methods, and special emphasis will be placed on their application through statistical software. Prerequisites: CISC 130 or 131, and MATH 113, and STAT 320 or 333. Schedule Details
