SAS statistics by example:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cary
SAS Publishing
[2011]
|
| Schriftenreihe: | The power to know
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xiv, 257 Seiten Illustrationen |
| ISBN: | 9781607648000 |
Internformat
MARC
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| 300 | |a xiv, 257 Seiten |b Illustrationen | ||
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| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a SAS (Computer file) | |
| 650 | 4 | |a Mathematical statistics / Data processing | |
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Datensatz im Suchindex
| _version_ | 1804176465269358592 |
|---|---|
| adam_text | Contents
List of Programs............................................ix
Acknowledgments.............................................xv
Chapter 1 An Introduction to SAS............................................1
Introduction.................................................2
What is SAS..................................................2
Statistical Tasks Performed by SAS...........................3
The Structure of SAS Programs................................3
SAS DataSets.................................................3
SAS Display Manager..........................................4
Excel Workbooks..............................................5
Variable Types in SAS Data Sets.............................11
Temporary versus Permanent SAS Data Sets....................11
Creating a SAS Data Set from Raw Data.......................12
Data Values Separated by Delimiters.....................12
Reading CSV Files.......................................14
Data Values in Fixed Columns............................15
Excel Files with Invalid SAS Variable Names.................16
Other Sources of Data.......................................17
Conclusions.................................................17
Chapter 2 Descriptive Statistics - Continuous Variables....................19
Introduction................................................19
Computing Descriptive Statistics Using PROC MEANS...........21
Descriptive Statistics Broken Down by a Classification Variable.... 23
Computing a 95% Confidence Interval and the Standard Error..25
Producing Descriptive Statistics, Histograms, and
Probability Plots............................................26
iv Contents
Changing the Midpoint Values on the Histogram..............32
Generating a Variety of Graphical Displays of Your Data....33
Displaying Multiple Box Plots for Each Value of a
Categorical Variable.......................................38
Conclusions................................................39
Chapter 3 Descriptive Statistics - Categorical Variables..................41
Introduction...............................................41
Computing Frequency Counts and Percentages.................42
Computing Frequencies on a Continuous Variable.............44
Using Formats to Group Observations........................45
Histograms and Bar Charts..................................48
Creating a Bar Chart Using PROC SGPLOT.....................49
Using ODS to Send Output to Alternate Destinations.........50
Creating a Cross-Tabulation Table..........................52
Changing the Order of Values in a Frequency Table..........53
Conclusions................................................55
Chapter 4 Descriptive Statistics - Bivariate Associations.................57
Introduction...............................................57
Producing a Simple Scatter Plot Using PROG GPLOT...........58
Producing a Scatter Plot Using PROC SGPLOT.................61
Creating Multiple Scatter Plots on a Single Page Using
PROC SGSCATTER.............................................63
Conclusions................................................68
Chapter 5 Inferential Statistics - One-Sample Tests.......................69
Introduction...............................................69
Conducting a One-Sample Mest Using PROC TTEST..............70
Running PROC TTEST with ODS Graphics Turned On.............71
Conducting a One-Sample Mest Using PROC UNIVARIATE.........74
Testing Whether a Distribution is Normally Distributed.....76
Contents v
Tests for Other Distributions...............................78
Conclusions.................................................78
Chapter 6 Inferential Statistics - Two-Sample Tests........................79
Introduction................................................79
Conducting a Two-Sample Mest................................79
Testing the Assumptions for a Mest..........................81
Customizing the Output from ODS Statistical Graphics........83
Conducting a Paired Mest....................................85
Assumption Violations.......................................87
Conclusions.................................................89
Chapter 7 Inferential Statistics - Comparing More than
Two Means......................................................91
Introduction................................................91
A Simple One-way Design.....................................92
Conducting Multiple Comparison Tests........................98
Using ODS Graphics to Produce a Diffogram..................101
Two-way Factorial Designs..................................102
Analyzing Factorial Models with Significant Interactions...106
Analyzing a Randomized Block Design........................108
Conclusions................................................109
Chapter 8 Correlation and Regression.................................... 111
Introduction...............................................111
Producing Pearson Correlations.............................112
Generating a Correlation Matrix............................115
Creating HTML Output with Data Tips........................117
Generating Spearman Nonparametric Correlations.............119
Running a Simple Linear Regression Model...................120
Using ODS Statistical Graphics to Investigate Influential
Observations............................................125
vi Contents
Using the Regression Equation to Do Prediction.............129
A More Efficient Way to Compute Predicted Values..........132
Conclusions................................................134
Chapter 9 Multiple Regression............................................135
Introduction...............................................135
Fitting Multiple Regression Models.........................136
Running All Possible Regressions with Variables............137
Producing Separate Plots Instead of a Panel................141
Choosing the Best Model (Cp and Hocking’s Criteria)........142
Forward, Backward, and Stepwise Selection Methods..........145
Forcing Selected Variables into a Model....................152
Creating Dummy (Design) Variables for Regression...........153
Detecting Collinearity.....................................155
Influential Observations in Multiple Regression Models.....157
Conclusions................................................161
Chapter 10 Categorical Data...............................................163
Introduction...............................................163
Comparing Proportions......................................164
Rearranging Rows and Columns in a Table....................166
Tables with Expected Values Less Than 5 (Fisher’s Exact Test)... 169
Computing Chi-Square from Frequency Data...................172
Using a Chi-Square Macro...................................173
A Short-Cut Method for Requesting Multiple Tables..........175
Computing Coefficient Kappa—A Test of Agreement............175
Computing Tests for Trends.................................176
Computing Chi-Square for One-Way Tables....................160
Conclusions................................................182
Contents vii
Chapter 11 Binary Logistic Regression.....................................183
Introduction...............................................183
Running a Logistic Regression Model with One Categorical
Predictor Variable.........................................184
Running a Logistic Regression Model with One Continuous
Predictor Variable.........................................189
Using a Format to Create a Categorical Variable from a
Continuous Variable........................................191
Using a Combination of Categorical and Continuous Variables
in a Logistic Regression Model.............................193
Running a Logistic Regression with Interactions............197
Conclusions................................................203
Chapter 12 Nonparametric Tests............................................205
Introduction...............................................205
Performing a Wilcoxon Rank-Sum Test........................206
Performing a Wilcoxon Signed-Rank Test (for Paired Data)..209
Performing a Kruskal-Wallis One-Way ANOVA..................210
Comparing Spread: The Ansari-Bradley Test..................211
Converting Data Values into Ranks........................ 213
Using PROC RANK to Group Your Data Values..................216
Conclusions................................................217
Chapter 13 Power and Sample Size..........................................219
Introduction...............................................219
Computing the Sample Size for an Unpaired 7-Test...........220
Computing the Power of an Unpaired ¿Test...................222
Computing Sample Size for an ANOVA Design..................225
Computing Sample Sizes (or Power) for a Difference in
Two Proportions..........................................227
Using the SAS Power and Sample Size Interactive Application.... 229
Conclusions................................................234
viii Contents
Chapter 14 Selecting Random Samples.............................235
.... r Introduction.........................................235
Taking a Simple Random Sample........................236
Taking a Random Sample with Replacement..............237
Creating Replicate Samples using PROC SURVEYSELECT..240
Conclusions..........................................241
References...................................................... 243
Index.............................................................245
|
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| id | DE-604.BV043690965 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:32:37Z |
| institution | BVB |
| institution_GND | (DE-588)215531-X |
| isbn | 9781607648000 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029103634 |
| oclc_num | 859544753 |
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| owner_facet | DE-355 DE-BY-UBR |
| physical | xiv, 257 Seiten Illustrationen |
| publishDate | 2011 |
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| publisher | SAS Publishing |
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| series2 | The power to know |
| spelling | Cody, Ronald P. 1946- Verfasser (DE-588)1065206755 aut SAS statistics by example Ron Cody Cary SAS Publishing [2011] xiv, 257 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier The power to know Datenverarbeitung SAS (Computer file) Mathematical statistics / Data processing SAS Programm (DE-588)4195685-0 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf SAS Programm (DE-588)4195685-0 s DE-604 Statistik (DE-588)4056995-0 s SAS Institute Sonstige (DE-588)215531-X oth Erscheint auch als Online-Ausgabe 978-1-61290-012-4 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029103634&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Cody, Ronald P. 1946- SAS statistics by example Datenverarbeitung SAS (Computer file) Mathematical statistics / Data processing SAS Programm (DE-588)4195685-0 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4195685-0 (DE-588)4056995-0 |
| title | SAS statistics by example |
| title_auth | SAS statistics by example |
| title_exact_search | SAS statistics by example |
| title_full | SAS statistics by example Ron Cody |
| title_fullStr | SAS statistics by example Ron Cody |
| title_full_unstemmed | SAS statistics by example Ron Cody |
| title_short | SAS statistics by example |
| title_sort | sas statistics by example |
| topic | Datenverarbeitung SAS (Computer file) Mathematical statistics / Data processing SAS Programm (DE-588)4195685-0 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Datenverarbeitung SAS (Computer file) Mathematical statistics / Data processing SAS Programm Statistik |
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