Business Statistics

Hardcover
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Author: David F. Groebner

ISBN-10: 0136121012

ISBN-13: 9780136121015

Category: Economic Reference

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Business Statistics uses a direct approach that consistently presents concepts and techniques in way readers of all mathematical backgrounds can benefit from.The Where, Why, and How of Data Collection; Graphs, Charts, and Tables—Describing Your Data; Describing Data Using Numerical Measures; Using Probability and Probability Distributions; 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 and Estimation for Population Variances; Analysis of Variance; Goodness-of-Fit Tests and Contingency Analysis; Introduction to Linear Regression and Correlation Analysis; Multiple Regression Analysis and Model Building; Analyzing and Forecasting Time-Series Data; Introduction to Nonparametric Statistics; Introduction to Quality and Statistical Process ControlFor 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 MeasuresChapters 1–3Special Review SectionChapter 4: Using Probability and Probability Distributions Chapter 5: 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 and Estimation for Population Variances Chapter 12: Analysis of VarianceChapters 8–12Special Review SectionChapter 13: Goodness-of-Fit Tests and Contingency Analysis Chapter 14: Introduction to Linear Regression and Correlation Analysis Chapter 15: Multiple Regression Analysis 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