Learning Data Analysis with Data Desk, Student Version, 5.0, Macintosh Version
Pearson (Hersteller)
9780201571240 (ISBN)
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1. Introduction.
What Computing Background Do I Need?
Data Analysis.
Basic Desktop Operations.
2. Basic Concepts.
The DataDesk Desktop.
Menus and Submenus.
Datafiles.
Windows.
Icons.
Variables.
Folders.
Storage Folders and the File Cabinet.
Relations.
Selecting.
Result Windows, Plots, and Hot Results.
Defaults and Preferences.
Leaving DataDesk.
3. Data.
Basic Concepts.
Relations, Variables, Values and Data Structure.
Missing Data.
Infinities.
Outliners, Blunders, and Rogues.
Numerals and Numeric Values.
Appendix 3A: Kinds of Data.
Appendix 3B: Matrices, Tables, and Relations.
4. Datadesk Concepts.
Selecting Variables.
HyperView Menus.
Global and Context-sensitive HyperView Menus.
Data Analysis Expertise.
Updating Windows.
Derived Variables.
Following the Links.
The Clipboard.
ScratchPads.
Presentations.
Sliders.
Templates.
Dependencies.
Information Records.
Multiple Relations.
Saving Datafiles.
Compacting Files.
Appendix 4A: Hints and Shortcuts.
Appendix 4B: Hot, Warm, and Cold Objects.
Appendix 4C: DataDesk Limits.
5. Entering And Editing Data.
Entering Data for One Variable.
Editing a Variable.
Extended and Discontinuous Selection.
Editing Several Variables.
Entering Several Variables.
Moving Around.
Cutting, Copying, and Pasting.
Undo.
Managing Windows.
Shifting Cases.
More on Linking.
Finding and Replacing Cases.
Printing Variables
Examples: Editing Data.
Appendix 5A: Configure Editing.
6. Importing And Exporting.
Opening Files.
Data Tables.
Opening Delimited Text Files.
Importing Files.
Copying Variables to a Data Table.
Pasting Variables from the Clipboard.
Writing a Data Table to a Text File.
Stationary Pad Files.
Appending Cases in DataDesk.
Copying Selected Cases.
Copying DataDesk Results.
Printing from DataDesk.
Appendix 6A: Importing and Exporting.
7. Simple Summaries.
Summary Reports.
Summaries by Groups.
Summaries for Multiple Variables.
HyperView Menus.
Measure of Center.
An Example.
Measures of Spread.
Order Statistics.
General Summaries.
Moments.
Appendix 7A: The Biweight, a Robust Center.
Appendix 7B: Coefficient of Skewness and Kurtosis.
8. Displaying Data.
Data Analysis Displays.
Plotting Conventions.
Histograms.
Recentering and Rescaling Histograms.
Dotplots.
Dotplots of Separate Variables.
Boxplots.
Bar Charts.
Pie Charts.
Scatterplots.
Lineplots.
Normal Probability Plots.
Rotating Plots.
Appendix 8A: Boxplot Definitions.
Appendix 8B: Probability Plots.
9. Working With Displays.
Chapter Organization.
Organization of Features and Commands in DataDesk.
Basic Plot Actions.
Select.
Link.
Brush and Slice.
Identify.
Move.
Isolate.
Resize.
Substitute.
Symbols.
Colors.
Axes.
Scale.
Visibility.
Lines.
Lines and Color.
Regression Lines.
Working with Displays.
Appendix 9A: Plot Tool Shortcuts.
Appendix 9B: Selection Modes.
10. Brushing, Slicing And Rotating.
Brushing and Slicing.
Principles of Brushing and Slicing.
Principles of Plot Rotation.
Making a Rotating Plot.
An Example.
Seeing Patterns in Rotating Plots.
Rotating Plot Options.
11. Derived Variables.
The Transform Submenus.
Typing Derived Variable Expressions.
Updating.
Subset Selection in Derived Variable Expressions.
Expression Types.
Expression Conventions.
Dependencies.
Working with Open Derived Variables.
Calculating in ScratchPads.
Boolean Expressions.
If/Then/Else.
Subscripting.
Identifying Variables by Name.
Dynamic Parameters.
Re-expressing Data to Improve Analysis.
An Example.
Rules for Re-expression.
Re-expressing Counted Fractions.
Re-expressing Ranks.
Efficiency.
Indicator Variables and Logical Expressions.
Working with Several Relations.
Subtle Points.
Common Errors and How to Avoid Them.
Appendix 11A: Derived Variable.
Expressions.
Appendix 11B: Casewise Functions.
Appendix 11C: Collapsing Functions.
12. Manipulating Variables.
Sorting.
Ranking.
Generating Patterned Variables.
Appending and Splitting Variables.
Transpose.
Samples.
Duplicating Icons.
Variable Tables.
13. Integrated Analysis.
Selector Variables.
Assigning Selector Variables.
Dependencies.
An Example.
Performing Analysis by Group.
HotSet Variables.
Creating HotSet Variables.
HotSet Selector Variables.
Homogeneity.
Color HotSets.
14. Layouts.
Layout Windows as Notebooks.
Working with Layout Windows.
Text in Layouts.
Linked Figures in Layout Windows.
15. Presentations.
Slide Basics.
Creating and Editing the Slide Show Tables.
Frequency Counts and Percentages.
Two Factors.
Contingency Tables.
Table Contents.
Independence, Chi Square, and Fisher's Exact.
HyperView Menus in Tables.
Copying and Printing Tables.
Equations.
Multi-Way Tables.
16. Random Numbers And Simulation.
Randomness.
Creating Random Samples.
Distributions.
Generating Random Samples.
Bernoulli Trials.
Binomial Distribution.
Poisson Distribution.
Uniform Distribution.
Normal Distribution.
The Law of Large Numbers.
Sampling Distribution.
Central Limit Theorem.
Appendix 17A: Details and Formulas.
17. Simple Inference.
Confidence Intervals.
Confidence Intervals for m when qsigma is Unknown.
Where is the Randomness?
Multiple Intervals and the Bonferroni Adjustment.
Testing Hypotheses.
Hypothesis Test for m when qsigma is Known.
Multiple Hypothesis Tests and the Bonferroni Adjustment.
Appendix 18A: Example: Simulating Confidence Interval Performance.
Appendix 18B: Example: Simulating Hypothesis Test Performance.
18. COMPARING TWO SAMPLES.
Displaying Differences.
How to Set Up Your Data?
Comparing Two Means When the Variances are Assumed Equal.
Example.
Formulas.
Confidence Intervals for Pooled Variance.
Comparing Two Means When the Variances are Not Assumed Equal.
Paired Data.
Example.
Comparing Multiple Means When the Variances are Assumed Equal.
19. NONPARAMETRICS.
Median and Means.
Ties.
One-Sample Sign Test.
Paired Sign Test.
Wilcoxon Signed Rank Test.
Mann Whitney U Test.
20. Anova.
An Example.
Comparing Several Groups Graphically.
One-Way Analysis of Variance.
The ANOVA Table.
Multi-Way ANOVA.
Notation.
Interaction in ANOVA.
One Observation Per Cell.
Working with ANOVA Tables.
Notes on Computing ANOVA.
ANOVA Options.
21. Simple Regression.
Coefficients in Regression.
Least Squares Regression.
Predicted Values and Residuals.
Performing a Regression: An Example.
Inference for Regression Coefficients.
The ANOVA Table for Regression.
R2 and Adjusted R2.
Examining Residuals.
Checking Assumptions.
22. Correlation.
Pearson Product-Moment Correlation.
Linear Association.
Correlation and Simple Regression.
Correlation and Standard Scores.
Correlation Tables.
Spearman Rank Correlation (Rho).
Kendall's Tau.
Covariance.
Missing Values and Correlation.
Extracting Values from Correlation Tables
23. Multiple Regression.
Multiple Regression.
An Example.
Interpreting the Regression Table.
Predicted Values and residuals.
Missing Values in Regression.
Regression Options.
Working with Regression Summary Tables.
24. Regression Diagnostics.
Checking Basic Assumptions.
Partial Regression Plots.
Leverage.
Studentized Residuals.
Distance Measures.
Regression Options.
A Note on Identifying Cases.
Collinearity.
Index.
| Erscheint lt. Verlag | 18.7.2000 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| ISBN-13 | 9780201571240 / 9780201571240 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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