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Topics in this course include one and two sample statistical inference; Simple Regression; Multiple Regression; Chi-Square Test for Association, and Decision Theory. Students will learn to use software to carry out the data analysis taught in this course. Students will receive college credit for...

Topics in this course include one and two population statistical inference; simple linear regression; multiple regression; index numbers and time series analysis; statistical decision theory; and linear programming. This course is intended primarily for students in a college business administration...

Students learn how to use statistical methods for analyzing data from the biological and health sciences. The programming language R and R Commander is used for statistical computing including data manipulation, data analysis and graphical display of data. Topics covered in this course include...

This course includes the following: collection, classification, analysis, and presentation of numerical data; measures of location and variability; probability; random samples and sampling distributions; estimation of parameters; testing hypotheses; regression; and index numbers.Students may receive...

Topics in this course include one and two population statistical inference; simple linear regression; multiple regression; index numbers and time series analysis; statistical decision theory; and linear programming. This course is intended primarily for students in a college business administration...

Introduction to the basic principles of acting through improvisation and script work. Concentration. Freeing the imagination. Developing a rehearsal process. Integration of the voice and body. Elementary scene work. Identification of and work on individual acting problems.