Doing Data Analysis with SPSS Version 16.0

by Carver, Robert H.; Nash, Jane Gradwohl

• ISBN13: 9780495556510
• ISBN10: 0495556513
• Edition: CD
• Format: Paperback
• Copyright: 2008-04-02
• Publisher: Duxbury Press

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

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