### Introduction to Statistics: An Active Learning Approach 2ed

**by Kieth Carlson and Jennifer Winquist**

*SAGE Publications, Inc*

- Pub Date:
- 01/2017
- ISBN:
- 9781483378732
- Format:
- Pbk
*656 pages* - Price:
**AU$179.00***NZ$182.61*

**Product Status:**

*Available in Approx 14 days***Instructors**

& Academics:

& Academics:

AU$143.00 | NZ$160.70

*Available as eBook*AU$143.00 | NZ$160.70

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**, second edition, Kieth Carlson and Jennifer Winquist encourage an active approach to learning statistics. While the chapters in this book introduce basic and key concepts, this book is unique in the depth of its active pedagogical approach. Carefully placed reading questions throughout each chapter reinforce difficult concepts and guide student learning; 29 in-depth activities, each accompanied by learning objectives, carefully developed scenarios, problem sets, and quiz questions give students the opportunity to test or demonstrate their understanding of basic concepts while they read detailed explanations of more complex statistical concepts; and 15 sets of practice problems further solidify student learning.**

*An Introduction to Statistics: An Active Learning Approach**after*they read multiple pages of text. This book adopts a workbook approach that forces students to be actively engaged

*while*they read explanations. Most of the activities are self-correcting so if students misunderstand a concept their misunderstanding is corrected early in the learning process. After completing these activities, students are far more likely to understand the material than when they simply read the material.

Preface

About the Authors

1 Introduction to Statistics and Frequency Distributions

How to Be Successful in This Course

Math Skills Required in This Course

Why Do You Have to Take Statistics?

Statistics and the Helping Professions

Hypothesis Testing, Effect Size, and Confidence Intervals

Testing Causal Hypotheses

Populations and Samples

Independent and Dependent Variables

Scales of Measurement

Discrete Versus Continuous Variables

Graphing Data

Shapes of Distributions

Frequency Distribution Tables

SPSS

Overview of the Activity

Chapter 1 Practice Test

2 Central Tendency

Central Tendency

Computing the Mean

Find the Median

Find the Mode

SPSS

Overview of the Activity

Chapter 2 Practice Test

3 Variability

Population Variability

Steps in Computing a Population's Standard Deviation

Sample Variability

SPSS

Overview of the Activity

Chapter 3 Practice Test

4 z Scores

z for a Single Score

Using X to Find Important “Cut Linesa

z Scores and the Standard Normal Curve

Example 1: Positive z Score

Example 2: Negative z Score

Example 3: Proportion Between Two z Scores

Overview of the Activity

Chapter 4 Practice Test

5 The Distribution of Sample Means and z for a Sample Mean

Sampling and Sampling Error

Distribution of Sample Means

z for a Sample Mean

Example: Computing and Interpreting the z for a Sample Mean

Exact Probabilities Versus Probability Estimates

Overview of the Activities

Chapter 5 Practice Test

6 Hypothesis Testing With z Scores

Introduction to Hypothesis Testing

Hypothesis Testing With z for a Sample Mean Example (One-Tailed)

What Does It Mean to Describe Something as “Statistically Significanta?

Errors in Hypothesis Testing

Hypothesis Testing Rules

What Is a p Value?

Why Statisticians “Fail to Reject the Nulla Rather Than “Accept the Nulla

Why Scientists Say “This Research Suggestsa Rather Than “This Research Provesa

Overview of the Activities

Chapter 6 Practice Test

7 Single-Sample t Test

Single-Sample t Test

Conceptual Information

One-Tailed Single-Sample t Test Example

Two-Tailed Single-Sample t Test Example

Other Alpha Levels

SPSS

Overview of the Activity

Chapter 7 Practice Test

8 Estimation With Confidence Intervals

Three Statistical Procedures With Three Distinct Purposes

Logic of Confidence Intervals

Computing a Confidence Interval for a Population Mean

Computing Confidence Intervals for a Mean Difference

Reporting Confidence Intervals in APA Style

Confidence Intervals for Effect Sizes

Interpretations of Confidence Intervals

SPSS

Overview of the Activity

Chapter 8 Practice Test

9 Related Samples t Test

Repeated/Related Samples t Test

Logic of the Single-Sample and Repeated/Related Samples t Tests

Related Samples t (Two-Tailed) Example

Related Samples t (One-Tailed) Example

Statistical Results, Experimental Design, and Scientific Conclusions

SPSS

Overview of the Activities

Chapter 9 Practice Test

10 Independent Samples t Test

Independent Samples t

Conceptual Formula for the Independent Samples t

Two-Tailed Independent t Test Example

One-Tailed Independent t Test Example

Other Alpha Levels

SPSS

Overview of the Activities

Chapter 10 Practice Test

11 One-Way Independent Samples ANOVA

Independent Samples ANOVA

An Example ANOVA Problem

An Additional Note on ANOVAs: Family-Wise Error and Alpha Inflation

SPSS

Overview of the Activities

Chapter 11 Practice Test

12 Two-Factor ANOVA or Two-Way ANOVA

Purpose of the Two-Way ANOVA

Describing Factorial Designs

Logic of the Two-Way ANOVA

Example of a Two-Way ANOVA

SPSS

Overview of the Activities

Chapter 12 Practice Test

13 Correlation and Regression

When to Use Correlations and What They Can Tell You

Review of z Scores

The Logic of Correlation

Direction and Strength of Correlation Coefficients

Computational Formulas

Spearman's (rs) Correlations

Using Scatterplots Prior to Correlation Coefficients

Alternative Use for Correlation

Correlation and Causation

Hypothesis Testing With Correlation

Two-Tailed Pearson's Correlation Example

One-Tailed Pearson's Correlation Example

What If You Need to Do a Spearman's Correlation?

Confidence Intervals

SPSS

Overview of the Activities

Chapter 13 Practice Test

14 Goodness of Fit and Independence Chi-Square Statistics

Overview of Chi-Square

Logic of the Chi-Square Test

Comparing the Goodness-of-Fit Chi-Square and the Chi-Square for Independence

Goodness-of-Fit Chi-Square Example

Chi-Square for Independence

SPSS

Overview of the Activities

Chapter 14 Practice Test

Appendices

Appendix A

Unit Normal Table (z Table)

Appendix B

One-Tailed Probabilities t Table

Two-Tailed Probabilities t Table

Appendix C

F Table (a = .05)

F Table (a = .01)

Appendix D

The Studentized Range Statistic (q) Table

Appendix E

One-Tailed Pearson's Correlation Table

Two-Tailed Pearson's Correlation Table

Appendix F

Spearman's Correlation Table

Appendix G

Fisher r to z Table

Appendix H

Critical Values for Chi-Square

Appendix I

Computing SSs for Factorial ANOVA

Appendix J

Choosing Correct Test Statistics

Index

“The most impressive feature of the text is the manner in which it invites the student to interact with and digest the material covered in each chapter.”

—**Lyon Rathbun**, *University of Texas, Brownsville*