Elementary Statistics: A Step by Step Approach

by Bluman

• ISBN13: 9780073305431
• ISBN10: 007330543X
• Edition: 6th
• Format: Hardcover
• Copyright: 2007-01-01
• Publisher: MCGRAW HILL PROFESSIONAL

Summary

ELEMENTARY STATISTICS: A STEP BY STEP APPROACHis 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

Introduction

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

Summary

Frequency Distributions and Graphs

Introduction

Organizing Data

Histograms, Frequency Polygons, and Ogives

Other Types of Graphs

Summary

Data Description

Introduction

Measures of Central Tendency

Measures of Variation

Measures of Position

Exploratory Data Analysis

Summary

Probability and Counting Rules

Introduction

Sample Spaces and Probability

The Addition Rules for Probability

The Multiplication Rules and Conditional Probability

Counting Rules

Probability and Counting Rules

Summary

Discrete Probability Distributions

Introduction

Probability Distributions

Mean, Variance, Standard Deviation, and Expectation

The Binomial Distribution

Other Types of Distributions (Optional)

Summary

The Normal Distribution

Introduction

Properties of the Normal Distribution

The Standard Normal Distribution

Applications of the Normal Distribution

The Central Limit Theorem

The Normal Approximation to the Binomial Distribution

Summary

Confidence Intervals and Sample Size

Introduction

Confidence Intervals for the Mean (s Known or n[3]30) and Sample Size

Confidence Intervals for the Mean (s Unknown or n<30)

Confidence Intervals and Sample Size for Proportions

Confidence Intervals for Variances and Standard Deviations

Summary

Hypothesis Testing

Introduction

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

Additional Topics Regarding Hypothesis Testing

Summary

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

Introduction

Testing the Difference Between Two Means: Large Samples

Testing the Difference Between Two Variances

Testing the Difference Between Two Means: Small Independent Samples

Testing the Difference Between Two Means: Small Dependent Samples

Testing the Difference Between Proportions

Summary

Correlation and Regression

Introduction

Scatter Plots

Correlation

Regression

Coefficient of Determination and Standard Error of the Estimate

Multiple Regression (Optional)

Summary

Other Chi-Square Tests

Introduction

Test for Goodness of Fit

Tests Using Contingency Tables

Summary

Analysis of Variance

Introduction

One-Way Analysis of Variance

The Scheffeacute; Test and the Tukey Test

Two-Way Analysis of Variance

Summary

Nonparametric Statistics

Introduction

Advantages and Disadvantages of Nonparametric Methods

The Sign Test

The Wilcoxon Rank Sum Test

The Wilcoxon Signed-Rank Test

The Kruskal-Wallis Test

The Spearman Rank Correlation Coefficient and the Runs Test

Summary

Sampling and Simulation

Introduction

Common Sampling Techniques

Surveys and Questionnaire Design

Simulation Techniques

The Monte Carlo Method

Summary

Algebra Review

Writing the Research Report

Bayes's Theorem

Alternate Method for the Standard Normal Distribution

Tables

Data Bank

Glossary

Bibliography

Photo Credits

Selected Answers

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