Business Statistics
by Groebner, David F.; Shannon, Patrick W.; Fry, Phillip C.; Smith, Kent D.Edition: 8th
Format: Hardcover
Pub. Date: 2010-01-12
Publisher(s): Pearson
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Summary
Business Statisticsuses 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 Control For business professionals involved in data presentations and descriptive analyses.
Table of Contents
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
Chapters 1–3
Special Review Section
Chapter 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 Variance
Chapters 8–12
Special Review Section
Chapter 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
Chapter 2: Graphs, Charts, and Tables—Describing Your Data
Chapter 3: Describing Data Using Numerical Measures
Chapters 1–3
Special Review Section
Chapter 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 Variance
Chapters 8–12
Special Review Section
Chapter 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
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