Overview

For a 1-semester course in business statistics. This brief paperback text builds student confidence by incorporating a unique, step-by-step system of examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with exercises that step-up in level of difficulty, and solidify their understanding via one of-a-kind, review sections. A more comprehensive version is also available: Business Statistics 6e, Updated.

Full Product Details

Author:   David F. Groebner ,  Patrick W. Shannon ,  Phillip C Fry ,  Kent D. Smith
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   4th edition
Dimensions:   Width: 21.90cm , Height: 2.60cm , Length: 27.50cm
Weight:   1.470kg
ISBN:  

9780131676091

ISBN 10:   0131676091
Pages:   656
Publication Date:   28 April 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Mixed media product
Publisher's Status:   Out of Print
Availability:   In Print  
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

1. The Where, Why, and How of Data Collection What is Business Statistics? Tools for Collecting Data. Populations,Samples, and Sampling Techniques. Data Types and Data Measurement Levels. 2. Graphs, Charts and Tables - Describing Your Data Frequency Distributions and Histograms. Bar Charts, Pie Charts and Stem and Leaf Diagrams. Line Charts and Scatter Diagrams. 3. Describing Data Using Numerical Measures Measures of Center and Location. Measures of Variation. Using the Mean and Standard Deviation Together. Chapter 1-3 Special Review Section 4. Using Probability and Probability Distributions The Basics of Probability. The Rules of Probability. Introduction to Probability Distributions. 5. Discrete and Continuous Probability Distributions The Binomial Probability Distribution. Other Discrete Distributions. The Normal Probability Distribution. Other Continuous Probability Distributions. 6. Introduction to Sampling Distributions Sampling error: What It Is and Why It Happens. Sampling Distribution of the Mean. Sampling Distribution of a Proportion. 7. Estimating Population Values Point and Confidence Interval Estimates for a Population Mean. Determining the Required Sample Size for Estimating the Population Mean. Estimating a Population Proportion. 8. Introduction to Hypothesis Testing Hypothesis Tests for Means. Hypothesis Tests for Proportions. Type II Errors. 9. Estimation and Hypothesis Testing for Two Population Parameters Estimation for Two Population Means. Hypothesis Tests for the Difference Between Two Population Means. Estimation and Hypothesis Tests for Two Population Proportions. Chi-Square Test for Independence. 10. Hypothesis Tests For One and Two Population Variances Test for a Single Population Variance. Test for Two Population Variances. 11. Analysis of Variance One-Way Analysis of Variance. Randomized Complete Block Analysis of Variance. Chapter 7-11 Special Review Section 12. Introduction to Linear Regression and Correlation Analysis Scatter Plots and Correlation. Simple Linear Regression Analysis. Uses for Regression Analysis 13. The Basics of Multiple Regression Analysis Introduction to Multiple Regression Analysis. Using Qualitative Independent Variables. Working With Nonlinear Relationships. Stepwise Regression. Determining the Aptness of the Model. CD-ROM Chapters 14. Introduction to Decision Analysis 15. Analyzing Forecasting and Time-Series Data 16. Introduction to Nonparametric Statistics 17. Introduction to Quality and Statistical Process Control Index for CD-ROM chapters Answers to Selected Odd-Numbered Problems for CD-ROM chapters

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