Elementary Statistics, A Brief Version 5th Edition

by Bluman, Allan

• ISBN13: 9780077359423
• ISBN10: 0077359429
• Edition: 5th
• Format: Paperback
• Copyright: 2009-08-31
• Publisher: McGraw-Hill Science/Engineering/Math

Summary

Elementary Statistics: A Brief Version, is a shorter version of the popular text Elementary Statistics: A Step by Step Approach. This softcover edition includes all the features of the longer book, but it is designed for a course in which the time available limits the number of topics covered. It is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. This edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses.

Table of Contents

The Nature of Probability and Statistics

Descriptive and Inferential Statistics

Variables and Types of Data

Data Collection and Sampling Techniques

Observational and Experimental Studies

Uses and Misuses of Statistics

Computers and Calculators

Frequency Distributions and Graphs

Organizing Data

Histograms, Frequency Polygons, and Ogives

Other Types of Graphs

Paired Data and Scatter Plots

Data Description

Measures of Central Tendency

Measures of Variation

Measures of Position

Exploratory Data Analysis

Probability and Counting Rules

Sample Spaces and Probability

The Addition Rules for Probability

The Multiplication Rules and Conditional Probability

Counting Rules

Probability and Counting Rules

Discrete Probability Distributions

Probability Distributions

Mean, Variance, Standard Deviation, and Expectation

The Binomial Distribution

The Normal Distribution

Normal Distributions

Applications of the Normal Distribution

The Central Limit Theorem

The Normal Approximation to the Binomial Distribution

Confidence Intervals and Sample Size

Confidence Intervals for the Mean When s Is Known and Sample Size

Confidence Intervals for the Mean When s Is Unknown

Confidence Intervals and Sample Size for Proportions

Confidence Intervals for Variances and Standard Deviations

Hypothesis Testing

Steps in Hypothesis Testing - Traditional Method

z Test for a Mean

t Test for a Mean

z Test for a Proportion

Chi-Square Test for a Variance or Standard Deviation

Confidence Intervals and Hypothesis Testing

Testing the Difference Between Two Means, Two Proportions, and Two Variances

Testing the Difference Between Two Means: Using the z Test

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

Testing the Difference Between Two Means: Dependent Samples

Testing the Difference Between Proportions

Testing the Difference Between Two Variances

Correlation and Regression

Correlation

Regression

Coefficient of Determination and Standard Error of the Estimate

Chi-Square and Analysis of Variance (ANOVA)

Test for Goodness of Fit

Tests Using Contingency Tables

Analysis of Variance (ANOVA)

Algebra Review

Writing the Research Report

Alternate Approach to the Standard

Normal Distribution

Tables

Data Bank

Glossary

Bibliography

Photo Credits

Selected Answers

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