Fundamental concepts for data analysis and experimental design. Descriptive and inferential statistics, including classical and nonparametric methods, regression, correlation, and analysis of variance. Statistical software. Prerequisite: Junior standing. Cross-listed with: BIOS 211.
Mun Son ()
DATES: May 19 - June 27, 2014
STATISTICS 211 (#60120) Statistical Methods I Summer 2014 ********************************************************** INSTRUCTOR: Mun Son, firstname.lastname@example.org Rm. 309 Math/Stat Dep't., 16 Colchester Ave. (The Lord House) 656-4329(O), 879-0721(R), 734-2521(CP) Office Hours: TR: 4:00 ? 4:50 pm; MW: 5:00 ? 5:50 pm. GTF: CLASSROOM & CLASS HOURS: 1:00 pm - 4:45 pm MW, Rowell Hlth 115, May 19, 2013 - June 27, 2014 TEXTBOOK: An Introduction to Statistical Methods and Data Analysis, 6th Ed. by R. Lyman Ott, Michael Longnecker, Brooks/Cole (ISBN -10= 0-495-01758-2) JMP and SAS, computer statistics software will be used ? You can sign up for an On-Demand Webcast called "Getting Started with JMP" ? at this URL: http://www.jmp.com/webforms/jmp_start_ondemand.shtml ? Live introduction to JMP webcasts are held weekly. You can register for one ? at: http://www.jmp.com/about/events/webcasts/index.shtml Course description: This course has two major objectives. (1) You will gain an understanding of several techniques used in the statistical analysis of data, including the underlying statistical models, and how they relate to specific research questions. (2) You will also learn how to implement and interpret analyses for different types of studies using statistical software. Putting this information together will allow you to formulate a research hypothesis, determine an appropriate statistical analysis method, carry out the analyses, and interpret the results. We will discuss ways of determining appropriate numbers of subjects/units to include in experiments and methods for verifying assumptions that underlie the statistical models. I expect that you will read the material in the text before we discuss it in class. COURSE OUTLINE: Chap. 1 - What is Statistics? Chap. 2 - Using Surveys and Scientific Studies to Gather Data. Chap. 3 - Data Description. Chap. 4 - Probability and Probability Distributions. Chap. 5 - Inferences about Population Central Values. Chap. 6 - Inferences Comparing Two Population Central Values. Chap. 7 - Inferences about Population Variances. Chap. 8 - Inferences about more than Two Population Central Values. (Some Secs. will be skipped) Chap. 9 - Multiple Comparisons. Chap. 10 ? Categorical Data. Chap. 11 - Linear Regression and Correlation. Chap. 15 ? Analysis of Variance for Standard Designs. (Secs. 1-3 will be covered) GRADING: Homework - 10% Exam I - 40% (Monday, 6/9/14) Final - 50% (Wednesday, 6/25/14, Comprehensive) All students are expected to regulate their class attendance.
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Rowell N/A Hlth 115 (View Campus Map)
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|STAT 141 OL2||Statistics: Basic Statistical Methods (online)||to||N/A||See Notes||3||60119|
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