This book gives an introduction to modern statistics, explaining its history and development, and its role in the world of business. It shows how to collect data, how to present it, and gives sample problems for the reader to work out.
Table of Contents:
Preface
1 Introduction and Data Collection
2 Presenting Data in Tables and Charts
3 Numerical Descriptive Measures
4 Basic Probability
5 Some Important Discrete Probability Distributions
6 The Normal Distribution and Other Continuous Distributions
7 Sampling Distributions and Sampling
8 Confidence Interval Estimation
9 Fundamentals of Hypothesis Testing: One-Sample Tests
10 Two-Sample Tests
11 Analysis of Variance
12 Chi-Square Tests and Nonparametric Tests
13 Simple Linear Regression
14 Introduction to Multiple Regression
15 Multiple Regression Model Building
16 Time-Series Forecasting and Index Numbers
17 Decision Making
18 Statistical Applications in Quality Management
Appendices A—F
Self-Test Solutions and Answers to Selected Even-Numbered Problems
Index
Student CD-ROM Topics
5.6 Using the Poisson Distribution to Approximate the Binomial Distribution CD5-1
7.6 Sampling from Finite Populations CD7-1
8.7 Estimation and Sample Size Determination for Finite Populations CD8-1
12.10 Chi-Square Goodness of Fit Tests
15.6 Influence Analysis
16.9 The Holt-Winters Method for Trend-Fitting and Forecasting
