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Doing Data Analysis with SPSS,9780495107934
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Doing Data Analysis with SPSS

by
Edition:
3rd
ISBN13:

9780495107934

ISBN10:
049510793X
Format:
Paperback
Pub. Date:
12/20/2005
Publisher(s):
Duxbury Press
List Price: $86.66

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This is the 3rd edition with a publication date of 12/20/2005.
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Summary

DOING DATA ANALYSIS WITH SPSS VERSION 14.0 (WITH CD-ROM) is the perfect supplement to help you succed in your statistic course! This innovative guide offers practical instruction to SPSS 14.0, helping you learn helpful software skills. By using SPSS to handle complex computations, you can focus on the underlying statistical concepts and techniques in the introductory statistics course.

Table of Contents

A First Look at SPSS 14.0
1(12)
Objectives
1(1)
Launching SPSS
1(2)
Entering Data into the Data Editor
3(4)
Saving a Data File
7(1)
Creating a Bar Chart
7(4)
Saving an Output File
11(1)
Getting Help
12(1)
Printing in SPSS
12(1)
Quitting SPSS
12(1)
Tables and Graphs for One Variable
13(12)
Objectives
13(1)
Opening a Data File
13(1)
Exploring the Data
14(2)
Creating a Histogram
16(3)
Frequency Distributions
19(2)
Another Bar Chart
21(1)
Printing Session Output
21(1)
Moving On...
22(3)
Tables and Graphs for Two Variables
25(12)
Objectives
25(1)
Cross-Tabulating Data
25(2)
Editing a Recent Dialog
27(1)
More on Bar Charts
27(3)
Comparing Two Distributions
30(1)
Scatterplots to Detect Relationships
31(2)
Moving On...
33(4)
One-Variable Descriptive Statistics
37(12)
Objectives
37(1)
Computing One Summary Measure for a Variable
37(4)
Computing Additional Summary Measures
41(3)
A Box-and-Whiskers Plot
44(1)
Standardizing a Variable
45(1)
Moving On...
46(3)
Two-Variable Descriptive Statistics
49(10)
Objectives
49(1)
Comparing Dispersion with the Coefficient of Variation
49(2)
Descriptive Measures for Subsamples
51(1)
Measures of Association: Covariance and Correlation
52(2)
Moving On...
54(5)
Elementary Probability
59(10)
Objectives
59(1)
Simulation
59(1)
A Classical Example
59(2)
Observed Relative Frequency as Probability
61(2)
Handling Alphanumeric Data
63(3)
Moving On...
66(3)
Discrete Probability Distributions
69(10)
Objectives
69(1)
An Empirical Discrete Distribution
69(2)
Graphing a Distribution
71(1)
A Theoretical Distribution: The Binomial
72(2)
Another Theoretical Distribution: The Poisson
74(1)
Moving On...
75(4)
Probability Density Functions
79(12)
Objectives
79(1)
Continuous Random Variables
79(1)
Generating Normal Distributions
80(3)
Finding Areas under a Normal Curve
83(2)
Normal Curves as Models
85(2)
Moving On...
87(4)
Sampling Distributions
91(10)
Objectives
91(1)
What Is a Sampling Distribution?
91(1)
Sampling from a Normal Population
92(3)
Central Limit Theorem
95(2)
Sampling Distribution of the Proportion
97(1)
Moving On...
98(3)
Confidence Intervals
101(10)
Objectives
101(1)
The Concept of a Confidence Interval
101(3)
Effect of Confidence Coefficient
104(1)
Large Samples from a Non-normal (Known) Population
104(1)
Dealing with Real Data
105(1)
Small Samples from a Normal Population
106(2)
Moving On...
108(3)
One-Sample Hypothesis Tests
111(12)
Objectives
111(1)
The Logic of Hypothesis Testing
111(1)
An Artificial Example
112(3)
A More Realistic Case: We Don't Know Mu or Sigma
115(2)
A Small-Sample Example
117(3)
Moving On...
120(3)
Two-Sample Hypothesis Tests
123(12)
Objectives
123(1)
Working with Two Samples
123(5)
Paired vs. Independent Samples
128(2)
Moving On...
130(5)
Analysis of Variance (I)
135(16)
Objectives
135(1)
Comparing Three or More Means
135(1)
One-Factor Independent Measures ANOVA
136(4)
Where Are the Differences?
140(2)
One-Factor Repeated Measures ANOVA
142(5)
Where Are the Differences?
147(1)
Moving On...
147(4)
Analysis of Variance (II)
151(12)
Objectives
151(1)
Two-Factor Independent Measures ANOVA
151(6)
Another Example
157(2)
One Last Note
159(1)
Moving On...
160(3)
Linear Regression (I)
163(14)
Objectives
163(1)
Linear Relationships
163(5)
Another Example
168(1)
Statistical Inferences in Linear Regression
169(1)
An Example of a Questionable Relationship
170(1)
An Estimation Application
171(1)
A Classic Example
172(1)
Moving On...
173(4)
Linear Regression (II)
177(16)
Objectives
177(1)
Assumptions for Least Squares Regression
177(1)
Examining Residuals to Check Assumptions
178(5)
A Time Series Example
183(2)
Issues in Forecasting and Prediction
185(3)
A Caveat about ``Mindless'' Regression
188(1)
Moving On...
189(4)
Multiple Regression
193(16)
Objectives
193(1)
Going Beyond a Single Explanatory Variable
193(6)
Significance Testing and Goodness of Fit
199(1)
Residual Analysis
200(1)
Adding More Variables
200(1)
Another Example
201(1)
Working with Qualitative Variables
202(2)
A New Concern
204(1)
Moving On...
205(4)
Nonlinear Models
209(14)
Objectives
209(1)
When Relationships Are Not Linear
209(1)
A Simple Example
210(1)
Some Common Transformations
211(2)
Another Quadratic Model
213(4)
A Log-Linear Model
217(1)
Adding More Variables
218(1)
Moving On...
219(4)
Basic Forecasting Techniques
223(12)
Objectives
223(1)
Detecting Patterns over Time
223(1)
Some Illustrative Examples
224(2)
Forecasting Using Moving Averages
226(3)
Forecasting Using Trend Analysis
229(3)
Another Example
232(1)
Moving On...
232(3)
Chi-Square Tests
235(12)
Objectives
235(1)
Qualitative vs. Quantitative Data
235(1)
Chi-Square Goodness-of-Fit Test
235(4)
Chi-Square Test of Independence
239(3)
Another Example
242(1)
Moving On...
243(4)
Nonparametric Tests
247(12)
Objectives
247(1)
Nonparametric Methods
247(1)
Mann-Whitney U Test
248(2)
Wilcoxon Signed Ranks Test
250(2)
Kruskal-Wallis H Test
252(3)
Spearman's Rank Order Correlation
255(1)
Moving On...
256(3)
Tools for Quality
259(14)
Objectives
259(1)
Processes and Variation
259(1)
Charting a Process Mean
260(3)
Charting a Process Range
263(1)
Another Way to Organize Data
264(2)
Charting a Process Proportion
266(2)
Pareto Charts
268(2)
Moving On...
270(3)
Appendix A: Dataset Descriptions
273(36)
Appendix B: Working with Files
309(6)
Objectives
309(1)
Data Files
309(1)
Viewer Document Files
310(1)
Converting Other Data Files into SPSS Data Files
311(4)
Index 315


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