Student Solutions Manual for Use with Introduction to Probability and Statistics

Gives detailed solutions to odd numbers problems not appearing in the appendix of the main text.

List of contents

1 Introduction to Probability and Counting

2 Some Probability Laws

3 Discrete Distributions

4 Continuous Distributions

5 Joint Distributions

6 Descriptive Statistics

7 Estimation

8 Inferences on the Mean and Variance of a Distribution

9 Inferences on Proportions

10 Comparing Two Means and Two Variances

11 Simple Linear Regression and Correlation

12 Multiple Linear Regression Models

13 Analysis of Variance

14 Factorial Experiments

15 Categorical Data

16 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.

Product details

• Authors: Jesse C. Arnold, J. Susan Milton
• Assisted by: M. Jill Stewart (Editor)
• Publisher: McGraw Hill LLC
• Languages: English
• Product format: Paperback / Softback
• Released: 01.10.2002
• EAN: 9780072468380
• ISBN: 978-0-07-246838-0
• No. of pages: 252
• Dimensions: 213 mm x 275 mm x 13 mm
• Weight: 594 g
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics