Business Statistics : A Decision Making Approach

This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making.Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics.For business professionals involved in data presentations and descriptive analyses.

Chapter 1: The Where, Why and How of Data Collection Chapter 2: Graphs, Charts, and Tables Describing Your Data Chapter 3: Describing Data Using Numerical Measures Chapter 4: Introduction to Probability Chapter 5: Introduction to Discrete Probability Distributions Chapter 6: Introduction to Continuous Probability Distributions Chapter 7: Introduction to Sampling Distributions Chapter 8: Estimating Single Population Parameters Chapter 9: Introduction to Hypothesis Testing Chapter 10: Estimation and Hypothesis Testing for Two Population Parameters Chapter 11: Hypothesis Tests for One and Two Population Variances Chapter 12: Analysis of Variance Chapter 13: Goodness-of-Fit Tests and Contingency Analysis Chapter 14: Introduction to Linear Regression and Correlation Analysis Chapter 15: Multiple Regression and Model Building Chapter 16: Analyzing and Forecasting Time-Series Data Chapter 17: Introduction to Nonparametric Statistics Chapter 18: Introduction to Quality and Statistical Process Control Chapter 19: Introduction to Decision Analysis