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Gives detailed solutions to odd numbers problems not appearing in the appendix of the main text.
List of contents
1 Introduction to Probability and Counting2 Some Probability Laws3 Discrete Distributions4 Continuous Distributions5 Joint Distributions6 Descriptive Statistics7 Estimation8 Inferences on the Mean and Variance of a Distribution9 Inferences on Proportions10 Comparing Two Means and Two Variances11 Simple Linear Regression and Correlation12 Multiple Linear Regression Models13 Analysis of Variance14 Factorial Experiments15 Categorical Data16 Statistical Quality Control
About the author
J.Susan Milton is professor Emeritus of Satatics at Radford University. Dr. Milton recieved the B.S. degree from Western Carolina University, the M.A. degree from the University of North Carolina at Chapel Hill, and the Ph.D degree in Statistics from Virginia Polytechnic Institute and State university. She is a Danforth Associate and is a recipient of the Radford University Foundation Award for Excellence in Teaching. Dr. Milton is the author of Statistical Methods in the Biological and Health Sciences as well as Introduction to statistics, Probability with the Essential Analysis, and a first Course in the Theory of Linear Statistical Models.
Jesse C. arnold is a Professor of Statistics at Virginia Polytechnic Insitute and state University. Dr. arnold received the B.S. Degree from Southeastern state University, and the M.A and Ph. D degrees in statistics from Florida state university. He served as head of Statistics department for ten years, is a fellow of the American Statistical Association, and elected member of the International Statistics Institute. Ha has served as President of the International Biometric Society (Eastern North American Region) and Chairman of the statistical Educational Section of the American Statistical Association.
