. .

Résumé :
Elementary Statistics: A Brief Version was written as an aid in the beginning Statistics course for students whose mathematical background is limited to basic algebra. The book follows a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics including problems in business, sports, health architecture, education, entertainment, political science, psychology, history, criminal justice, and many more. While a number of important changes have been made in this next edition, the learning system remains untouched and provides students with a useful framework in which to learn and apply concepts.

Biographie:
Allan G. Bluman is a professor emeritus at the Community College of Allegheny County, South Campus, near Pittsburgh. He has taught mathematics and statistics for over 35 years. He received an Apple for the Teacher award in recognition of his bringing excellence to the learning environment at South Campus. He has also taught statistics for Penn State University at the Greater Allegheny (McKeesport) Campus and at the Monroeville Center. He received his master's and doctor's degrees from the University of Pittsburgh.

In addition to Elementary Statistics: A Step by Step Approach (Eighth Edition ??2012) and Elementary Statistics: A Brief Version (Fifth Edition ??2010), Al is a co-author on a liberal arts mathematics text published by McGraw-Hill, Math in Our World (2nd Edition ??2011). Al also the author of for mathematics books in the McGraw-Hill DeMystified Series. They are Pre-Algebra, Math Word Problems, Business Math, and Probability.

Al Bluman is married and has two sons and a granddaughter.

Sommaire:

Elementary Statistics: A Brief Version, 8e

1.1, Descriptive and Inferential Statistics

1.2, Variables and Types of Data

1.3, Data Collection and Sampling Techniques

1.4, Experimental Design

1.5, Computers and Calculators

2.1, Organizing Data

2.2, Histograms, Frequency Polygons, and Ogives

2.3, Other Types of Graphs

2.4, Paired Data and Scatter Plots

3.1, Measures of Central Tendency

3.2, Measures of Variation

3.3, Measures of Position

3.4, Exploratory Data Analysis

4.1, Sample Spaces and Probability

4.2, The Addition Rules for Probability

4.3, The Multiplication Rules and Conditional Probability

4.4, Counting Rules

4.5, Probability and Counting Rules

5.1, Probability Distributions

5.2, Mean, Variance, Standard Deviation, and Expectation

5.3, The Binomial Distribution

6.1, Normal Distributions

6.2, Applications of the Normal Distributions

6.3, The Central Limit Theorem

6.4, The Normal Approximation to the Binomial Distribution

7.1, Confidence Intervals

7.2, Confidence Intervals for the Mean When s Is Known

7.3, Confidence Intervals for the Mean When s Is Unknown

7.4, Confidence Intervals and Sample Size for Proportions

7.5, Confidence Intervals for Variances and Standard Deviations

8.1, Steps in Hypothesis Testing - Traditional Method

8.2, z Test for a Mean

8.3, t Test for a Mean

8.4, z Test for a Proportion

8.5, Chi-Square Test for a Variance or Standard Deviation

8.6, Additional Topics Regarding Hypothesis Testing

9.1, Testing the Difference Between Two Parameters

9.2, Testing the Difference Between Two Means: Using the z Test

9.3, Testing the Difference Between Two Means of Independent Samples: Using the t Test

9.4, Testing the Difference Between Two Means: Dependent Samples

9.5, Testing the Difference Between Two Proportions

9.6, Testing the Difference Between Two Variances

10.1, Correlation

10.2, Regression

10.3, Coefficient of Determination and Standard Error of the Estimate

11.1, Test for Goodness of Fit

11.2, Test Using Contingency Tables

11.3, Analysis of Variance (ANOVA)

Appendix A: Tables

Appendix B: Data Bank

Appendix C: Glossary

Appendix D: Selected Answers

Algebra Review

Writing the Research Report

Bayes' Theorem

Alternate Approach to the Standard Normal Distribution