Learning Sas In The Computer Lab,9780495559689

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Learning Sas In The Computer Lab

by Elliott,Rebecca J.

Edition:

3rd

ISBN13:

9780495559689

ISBN10:

0495559687

Format:

Paperback

Pub. Date:

4/27/2009

Publisher(s):

Cengage Learning

Other versions by this Author

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Summary

The third edition of Elliott and Morrell's innovative lab manual makes it easy to analyze all types of statistics problems and the exceptional database management techniques that SAS offers. Students will learn the basics of the SAS programming language, be able to apply computing techniques in their statistics courses, acquire an appreciation for data analysis, and gain a valuable career skill that will serve their professional activities.

Introduction	p. 1
The Basics	p. 3
Data Set Structure	p. 3
Data Steps and Proc Steps	p. 4
The Data Step	p. 4
Proc Print	p. 5
The Input Statement	p. 7
Comparison of Character Formats	p. 10
Sas Program, Log, and List Files	p. 11
Problems	p. 13
More Sas Basics	p. 17
Subsetting If	p. 17
If...Then...Else Statements	p. 18
Proc Format	p. 19
Subsetting Where	p. 20
Using Data From Outside Files	p. 20
Missover Option on Infile Statement	p. 22
Proc Import for Microsoft Excel Files	p. 23
Proc Sort	p. 23
Set Statement	p. 27
Problems	p. 28
Data Management	p. 31
How SAS "Thinks"	p. 31
Lag Function	p. 32
Drop and Keep Statements	p. 33
Combining Data Sets	p. 33
Comment Lines	p. 37
Limiting The Number of Observations Read From External Files	p. 38
Setting The Size of the Output	p. 39
The Put Statement	p. 39
Proc Export for Microsoft Excel Files	p. 40
Problems	p. 41
SAS Functions	p. 43
Numeric Functions	p. 43
Character Functions	p. 44
Probability Functions	p. 44
Descriptive Statistics Functions	p. 45
Problems	p. 47
Descriptive Statistics I	p. 49
Label Statements	p. 49
Title Statements	p. 50
Proc Univariate	p. 50
Proc Boxplot	p. 61
Problems	p. 63
Proc Gchart	p. 65
Proc Gchart	p. 65
Problems	p. 70
Descriptive Statistics II	p. 73
Proc Means	p. 73
Proc Freq	p. 74
Problems	p. 78
Generating Random Observations	p. 81
Sas Distribution Functions	p. 81
Do Loops	p. 82
Problems	p. 90
X-Y Plots	p. 93
Proc Gplot	p. 93
Problems	p. 97
One-Sample Tests For ¿, P	p. 101
One-Sample T-Tests	p. 101
One-Sample Test For P	p. 103
Problems	p. 104
Two-Sample T-Tests	p. 107
Proc T-Test	p. 107
T-Tests: Two-Sample, Pooled, and Paired	p. 110
Problems	p. 112
One-Way Anova	p. 115
Analysis of Variance-Proc Glm And Proc Anova	p. 115
Problems	p. 122
Two-Way Anova and More	p. 125
Two-Way Anova	p. 125
General Anova Analysis	p. 130
Problems	p. 135
Model Checking In Anova	p. 137
Plots For Model Checking	p. 137
More On Proc Glm	p. 138
Problems	p. 144
Correlations	p. 145
Proc Corr	p. 145
Problems	p. 150
Simple Linear Regression	p. 153
Proc Reg	p. 153
Problems	p. 161
Model Checking In Regression	p. 163
Plots For Model Checking	p. 163
More on Proc Reg	p. 164
Problems	p. 171
Multiple Linear Regression	p. 173
Multiple Regression	p. 173
Problems	p. 177
Multiple Regression: Aids for Selecting And Assessing Models	p. 179
Statistics Used in Multiple Regression Model Checking	p. 180
Proc Reg Selection= Option	p. 187
Problems	p. 195
Tests for Categorical Data	p. 199
Chi-Square Tests	p. 199
Problems	p. 206
Nonparametric Tests	p. 209
One-Sample Tests	p. 209
Tests for Two or More Samples	p. 209
Problems	p. 212
Analysis of Covariance	p. 215
Using Proc Glm for Ancova	p. 215
Problems	p. 219
Logistic Regression	p. 221
Proc Logistic	p. 221
Problems	p. 235
Matrix Computations	p. 237
Proc IML	p. 237
Problems	p. 243
Macro Variables and Programs	p. 247
Macro Variables	p. 247
Macro Programs	p. 248
Problems	p. 257
Description of Data Sets	p. 259
Index	p. 289
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