(Cross listed with Biostatistics 211.) 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.
Mun Son ()
Dates: May 20 - June 28, 2013
STATISTICS 211 (#60169) Statistical Methods I Summer 2013 ********************************************************** 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: Monday ? Thursday: 4:00 ? 4:50 pm. GTF: Basement of Mansfield House, Votey parking lot, 656-3349(O) Office Hours: CLASSROOM & CLASS HOURS: 5:00 pm - 8:45 pm MW, LAFAYETTE HALL L200, May 20, 2013 - June 28, 2013 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 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, 6/10/13) Final - 50% (Wednesday, 6/26/13, Comprehensive) All students are expected to regulate their class attendance.
Course runs from to
Lafayette Hall L200 (View Campus Map)
to on Monday and Wednesday
Courses may be cancelled due to low enrollment. Show your interest by enrolling.
|Last Day to Add|
|Last Day to Drop|
|Last Day to Withdraw with 50% Refund|
|Last Day to Withdraw with 25% Refund|
|Last Day to Withdraw|
|STAT 141 OL2||Statistics: Basic Statistical Methods (online)||to||N/A||See Notes||3||60168|
|STAT 141 Z1||Statistics: Basic Statistical Methods||to||Tue|
|STAT 225 Z1||Statistics: Applied Regression Analysis||to||Tue|
There are no courses that meet this criteria.