**Note:**Supplemental materials are not guaranteed with Rental or Used book purchases.

# Doing Data Analysis with SPSS Version 16.0

**by**Carver, Robert H.; Nash, Jane Gradwohl

CD

### 9780495556510

0495556513

Paperback

4/2/2008

Duxbury Press

Complimentary 7-Day eTextbook Access

When you rent or buy this book, you will receive complimentary 7-day online access to the eTextbook version from your PC, Mac, tablet, or smartphone. Feature not included on Marketplace Items.

## Questions About This Book?

Why should I rent this book?

Renting is easy, fast, and cheap! Renting from eCampus.com can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.

How do rental returns work?

Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!

What version or edition is this?

This is the CD edition with a publication date of 4/2/2008.

What is included with this book?

- The
**New**copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc. - The
**Rental**copy of this book is not guaranteed to include any supplemental materials. You may receive a brand new copy, but typically, only the book itself. - The
**eBook**copy of this book is not guaranteed to include any supplemental materials. Typically only the book itself is included.

## Related Products

## Summary

Now updated for SPSS? 16.0, this book is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS 16.0 and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course.

## Table of Contents

A First Look At Spss 16.0 | |

Objectives | |

Launching SPSS | |

Entering Data into the Data Editor | |

Saving a Data File | |

Creating a Bar Chart | |

Saving an Output File | |

Getting Help | |

Printing in SPSS | |

Quitting SPSS | |

Tables And Graphs For One Variable | |

Objectives | |

Opening a Data File | |

Exploring the Data | |

Creating a Histogram | |

Frequency Distributions | |

Another Bar Chart | |

Printing Session Output | |

Moving On | |

Tables And Graphs For Two Variables | |

Objectives | |

Cross-Tabulating Data | |

Editing a Recent Dialog | |

More on Bar Charts | |

Comparing Two Distributions | |

Scatterplots to Detect Relationships | |

Moving On? | |

One-Variable Descriptive Statistics | |

Objectives | |

Computing One Summary Measure for a Variable | |

Computing Additional Summary Measures | |

A Box-and-Whiskers Plot | |

Standardizing a Variable | |

Moving On | |

Two-Variable Descriptive Statistics | |

Objectives | |

Comparing Dispersion with the Coefficient of Variation | |

Descriptive Measures for Subsamples | |

Measures of Association: Covariance and Correlation | |

Moving On | |

Elementary Probability | |

Objectives | |

Simulation | |

A Classical Example | |

Observed Relative Frequency as Probability | |

Handling Alphanumeric Data | |

Moving On | |

Discrete Probability Distributions | |

Objectives | |

An Empirical Discrete Distribution | |

Graphing a Distribution | |

A Theoretical Distribution: The Binomial | |

Another Theoretical Distribution: The Poisson | |

Moving On | |

Normal Density Functios | |

Objectives | |

Continuous Random Variables | |

Generating Normal Distributions | |

Finding Areas under a Normal Curve Normal Curves as Models | |

Moving On | |

Sampling Distributions | |

Objectives | |

What Is a Sampling Distribution? Sampling from a Normal Population | |

Central Limit Theorem | |

Sampling Distribution of the Proportion | |

Moving On | |

Confidence Intervals Objectives | |

The Concept of a Confidence Interval | |

Effect of Confidence Coefficient | |

Large Samples from a Non-normal (Known) Population | |

Dealing with Real Data | |

Small Samples from a Normal Population | |

Moving On | |

One-Sample Hypothesis Tests | |

Objectives | |

The Logic of Hypothesis Testing | |

An Artificial Example | |

A More Realistic Case: We Don't Know Mu or Sigma | |

A Small-Sample Example | |

Moving On | |

Two-Sample Hypothesis Tests | |

Objectives | |

Working with Two Samples | |

Paired vs | |

Independent Samples | |

Moving On | |

Analysis Of Variance (I) | |

Objectives | |

Comparing Three or More Means | |

One-Factor Independent Measures ANOVA | |

Where Are the Differences? | |

One-Factor Repeated Measures ANOVA Where Are the Differences? | |

Moving On | |

Analysis Of Variance (II) | |

Objectives | |

Two-Factor Independent Measures ANOVA | |

Another Example | |

One Last Note | |

Moving On | |

Linear Regression (I) | |

Objectives | |

Linear Relationships | |

Another Example | |

Statistical Inferences in Linear Regression | |

An Example of a Questionable Relationship | |

An Estimation Application | |

A Classic Example | |

Moving On | |

Linear Regression (II) | |

Objectives | |

Assumptions for Least Squares Regression | |

Examining Residuals to Check Assumptions | |

A Time Series Example | |

Issues in Forecasting and Prediction | |

A Caveat about "Mindless" Regression | |

Moving On | |

Multiple Regression | |

Objectives | |

Going Beyond a Single Explanatory Variable | |

Significance Testing and Goodness of Fit | |

Residual Analysis | |

Adding More Variables | |

Another Example | |

Working with Quaitative Variables | |

A New Concern | |

Moving On | |

Nonlinear Models | |

Objectives | |

When Relationships Are Not Linear | |

A Simple Example | |

Some Common Transformations | |

Another Quadratic Model | |

A Log-Linear Model | |

Adding More Variables Moving On | |

Basic Forecasting Techniques | |

Objectives | |

Detecting Patterns over Time | |

Some Illustrative Examples | |

Forecasting Using Moving Averages | |

Forecasting Using Trend Analysis | |

Another Example | |

Moving On | |

Chi-Square Tests | |

Objectives | |

Qualitative vs | |

Quantitative Data | |

Chi-Square Goodness-of-Fit Test | |

Chi-Square Test of Independence | |

Another Example | |

Moving On | |

Nonparametric Tests | |

Objectives | |

Nonparametric Methods | |

Mann-Whitney U Test | |

Wilcoxon Signed Ranks Test | |

Kruskal-Wallis H Test | |

Spearmans Rank Order Correlation | |

Moving On | |

Tools For Quality | |

Objectives | |

Processes and Variation | |

Charting a Process Mean | |

Charting a Process Range | |

Another Way to Organize Data | |

Charting a Process Proportion | |

Pareto Charts | |

Moving On | |

Dataset Descriptions | |

Working with Files | |

Objectives | |

Data Files | |

Viewer Document Files | |

Converting Other Data Files into SPSS Data Files | |

Index | |

Table of Contents provided by Publisher. All Rights Reserved. |