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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.
Table of Contents
The Where, Why and How of Data Collection
Graphs, Charts, and Tables ndash; Describing Your Data
Describing Data Using Numerical Measures
Introduction to Probability
Introduction to Discrete Probability Distributions
Introduction to Continuous Probability Distributions
Introduction to Sampling Distributions
Estimating Single Population Parameters
Introduction to Hypothesis Testing
Estimation and Hypothesis Testing for Two Population Parameters
Hypothesis Tests for One and Two Population Variances
Analysis of Variance
Goodness-of-Fit Tests and Contingency Analysis
Introduction to Linear Regression and Correlation Analysis
Multiple Regression and Model Building
Analyzing and Forecasting Time-Series Data
Introduction to Nonparametric Statistics
Introduction to Quality and Statistical Process Control
Introduction to Decision Analysis
Table of Contents provided by Publisher. All Rights Reserved.