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by Fred Pyrczak

Edition: 3RD 04Copyright: 2004

Publisher: Pyrczak Publishing

Published: 2004

International: No

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This text is divided into 59 short sections, allowing instructors to assign only those sections needed to meet the goals of the course. Humorous riddles allow students to check their work without providing the answers; if the answer to the riddle makes sense, then the student knows they have answered the question correctly. Covers all major statistics typically introduced in a first-semester course. New to this edition: expanded coverage on the value of descriptive and inferential statistics, the limitations of inferential statistics, and how to evaluate practical significance after determining statistical significance. Also new: fifteen additional cartoons that will keep your students smiling while working through this book.

**Part A Descriptive Statistics **

Descriptive vs. Inferential Statistics

Scales of Measurement

Frequencies, Percentages, and Proportions

Introduction to Frequency Distributions

Frequency Distributions for Grouped Data

Cumulative Frequencies, Cumulative Percentages, and Percentile Ranks

Histograms

Frequency Polygons

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Variability: The Range and Interquartile Range

Variability: Introduction to the Standard Deviation

A Closer Look at the Standard Deviation

Another Look at the Standard Deviation

Standard Scores

Transformed Standard Scores

Standard Scores and the Normal Curve

Conceptual Introduction to Correlation

Scattergrams

Introduction to the Pearson r

Computation of the Pearson r

Coefficient of Determination

Multiple Correlation

Introduction to Linear Regression

Computations for Linear Regression

**Part B Inferential Statistics **

Introduction to Sampling

A Closer Look at Sampling

Introduction to Probability

Probability and the Normal Curve

Standard Error of the Mean

Confidence Interval for the Mean

Introduction to the Null Hypothesis

Decisions About the Null Hypothesis

z Test for One Sample

One-Tailed vs. Two-Tailed Tests

Introduction to the t Test

Computation of t for Independent Data

Reporting the Results of t Tests

Computation of t for Dependent Data

Introduction to Analysis of Variance

Computations for a One-Way ANOVA

Tukey's HSD Test

Scheffé's Test

Introduction to Two-Way ANOVA

Significance of the Difference Between Variances

Significance of a Pearson r

Introduction to Chi Square

Computations for a One-Way Chi Square

Computations for a Two-Way Chi Square

Cramér's Phi

Median Test

Mann-Whitney U Test

Wilcoxon's Matched-Pairs Test

**Part C Putting It All Together **

Descriptive Statistics: Their Value in Research

Inferential Statistics: Their Value in Research

Limitations of Inferential Statistics: I

Limitations of Inferential Statistics: II

Statistical versus Practical Significance

**Part D Supplement **

Basic Math Review

Appendices

Statistical Tables

Index

Summary

This text is divided into 59 short sections, allowing instructors to assign only those sections needed to meet the goals of the course. Humorous riddles allow students to check their work without providing the answers; if the answer to the riddle makes sense, then the student knows they have answered the question correctly. Covers all major statistics typically introduced in a first-semester course. New to this edition: expanded coverage on the value of descriptive and inferential statistics, the limitations of inferential statistics, and how to evaluate practical significance after determining statistical significance. Also new: fifteen additional cartoons that will keep your students smiling while working through this book.

Table of Contents

**Part A Descriptive Statistics **

Descriptive vs. Inferential Statistics

Scales of Measurement

Frequencies, Percentages, and Proportions

Introduction to Frequency Distributions

Frequency Distributions for Grouped Data

Cumulative Frequencies, Cumulative Percentages, and Percentile Ranks

Histograms

Frequency Polygons

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Variability: The Range and Interquartile Range

Variability: Introduction to the Standard Deviation

A Closer Look at the Standard Deviation

Another Look at the Standard Deviation

Standard Scores

Transformed Standard Scores

Standard Scores and the Normal Curve

Conceptual Introduction to Correlation

Scattergrams

Introduction to the Pearson r

Computation of the Pearson r

Coefficient of Determination

Multiple Correlation

Introduction to Linear Regression

Computations for Linear Regression

**Part B Inferential Statistics **

Introduction to Sampling

A Closer Look at Sampling

Introduction to Probability

Probability and the Normal Curve

Standard Error of the Mean

Confidence Interval for the Mean

Introduction to the Null Hypothesis

Decisions About the Null Hypothesis

z Test for One Sample

One-Tailed vs. Two-Tailed Tests

Introduction to the t Test

Computation of t for Independent Data

Reporting the Results of t Tests

Computation of t for Dependent Data

Introduction to Analysis of Variance

Computations for a One-Way ANOVA

Tukey's HSD Test

Scheffé's Test

Introduction to Two-Way ANOVA

Significance of the Difference Between Variances

Significance of a Pearson r

Introduction to Chi Square

Computations for a One-Way Chi Square

Computations for a Two-Way Chi Square

Cramér's Phi

Median Test

Mann-Whitney U Test

Wilcoxon's Matched-Pairs Test

**Part C Putting It All Together **

Descriptive Statistics: Their Value in Research

Inferential Statistics: Their Value in Research

Limitations of Inferential Statistics: I

Limitations of Inferential Statistics: II

Statistical versus Practical Significance

**Part D Supplement **

Basic Math Review

Appendices

Statistical Tables

Index

Publisher Info

Publisher: Pyrczak Publishing

Published: 2004

International: No

Published: 2004

International: No

**Part A Descriptive Statistics **

Descriptive vs. Inferential Statistics

Scales of Measurement

Frequencies, Percentages, and Proportions

Introduction to Frequency Distributions

Frequency Distributions for Grouped Data

Cumulative Frequencies, Cumulative Percentages, and Percentile Ranks

Histograms

Frequency Polygons

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Variability: The Range and Interquartile Range

Variability: Introduction to the Standard Deviation

A Closer Look at the Standard Deviation

Another Look at the Standard Deviation

Standard Scores

Transformed Standard Scores

Standard Scores and the Normal Curve

Conceptual Introduction to Correlation

Scattergrams

Introduction to the Pearson r

Computation of the Pearson r

Coefficient of Determination

Multiple Correlation

Introduction to Linear Regression

Computations for Linear Regression

**Part B Inferential Statistics **

Introduction to Sampling

A Closer Look at Sampling

Introduction to Probability

Probability and the Normal Curve

Standard Error of the Mean

Confidence Interval for the Mean

Introduction to the Null Hypothesis

Decisions About the Null Hypothesis

z Test for One Sample

One-Tailed vs. Two-Tailed Tests

Introduction to the t Test

Computation of t for Independent Data

Reporting the Results of t Tests

Computation of t for Dependent Data

Introduction to Analysis of Variance

Computations for a One-Way ANOVA

Tukey's HSD Test

Scheffé's Test

Introduction to Two-Way ANOVA

Significance of the Difference Between Variances

Significance of a Pearson r

Introduction to Chi Square

Computations for a One-Way Chi Square

Computations for a Two-Way Chi Square

Cramér's Phi

Median Test

Mann-Whitney U Test

Wilcoxon's Matched-Pairs Test

**Part C Putting It All Together **

Descriptive Statistics: Their Value in Research

Inferential Statistics: Their Value in Research

Limitations of Inferential Statistics: I

Limitations of Inferential Statistics: II

Statistical versus Practical Significance

**Part D Supplement **

Basic Math Review

Appendices

Statistical Tables

Index