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This continuation of STAT 1181 for students who want a deeper treatment of the techniques and theory of data analysis. A brief review of probability and elementary inference will be followed by two-sample inferences, regression and correlation, multiple regression, design considerations, analysis of...

Probability, conditional probability, random variables, moments and moment generating functions, discrete distributions including the binomial, hypergeometric and Poisson distributions, continuous distributions including the exponential, uniform, Chi-square, Beta, and Normal Distributions, Central...

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...