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< Day Day Up >
Chapter 1: Overview
Figure 1.1: The Analyst Application with Explorer and Results Windows
Figure 1.2: Fitness Analysis Folder in Project Tree
Figure 1.3: Dependent and Explanatory Variables
Figure 1.4: Scatter Plot
Figure 1.5: Title
Figure 1.6: Simple Regression Output
Figure 1.7: Results in Project Tree
Figure 1.8: Scatter Plot
Figure 1.9: Code
Figure 1.10: Saving a Project
Figure 1.11: Project Tree
Figure 1.12: Data Table
Figure 1.13: Index
Figure 1.14: Toolbar
Figure 1.15: Help Menu
Figure 1.16: Table Styles
Chapter 2: The Data Table
Figure 2.1: The Data Table
Figure 2.2: Open Dialog
Figure 2.3: Select A Member Dialog
Figure 2.4: SQL QUERY TABLES Window
Figure 2.5: SQL QUERY COLUMNS Window
Figure 2.6: Open with Existing Query Window
Figure 2.7: Column Pop-up Menu
Figure 2.8: Move Columns Dialog
Figure 2.9: Hide Columns Dialog
Figure 2.10: Hold Columns Dialog
Figure 2.11: Sort Dialog
Figure 2.12: Delete Items Dialog
Figure 2.13: Column Properties Dialog
Figure 2.14: Row Pop-up Menu
Figure 2.15: Data Menu
Figure 2.16: Compute Dialog
Figure 2.17: Recode Ranges Information Dialog
Figure 2.18: Recode Ranges Dialog
Figure 2.19: Generate Random Variates from a Normal Distribution Dialog
Figure 2.20: Concatenate Tables by Rows Dialog
Figure 2.21: Merge Tables by Columns Dialog
Figure 2.22: Split Columns Dialog
Figure 2.23: Subset Dialog
Figure 2.24: Concatenate Tables by Rows Dialog
Figure 2.25: Interleave by Common Variables
Figure 2.26: Selected Columns for New Data Table
Figure 2.27: Combined Table
Figure 2.28: Opening the Combined Table
Figure 2.29: Recode Ranges Information Dialog
Figure 2.30: Boundary Values
Figure 2.31: Table with taste_test Column
Figure 2.32: Delete Rating Column
Figure 2.33: Taste_test Column Split by Sample
Figure 2.34: Split Columns Table
Figure 2.35: Save As Dialog
Figure 2.36: Save As Dialog
Chapter 3: Managing Results in Projects
Figure 3.1: New Project
Figure 3.2: Projects Dialog
Figure 3.3: Rename Dialog
Figure 3.4: Code Window
Figure 3.5: Code in Program Editor Window
Figure 3.6: Saving a Text File
Figure 3.7: Saving a Graphics File
Figure 3.8: Saving a Catalog Entry
Figure 3.9: Saving a Project Under Another Name
Figure 3.10: Fitness Project
Figure 3.11: Fitness Analysis and Class Variables
Figure 3.12: Histogram- Display Dialog
Figure 3.13: Color Attributes Dialog
Figure 3.14: Maximum Heart Rate Histograms
Figure 3.15: Project Tree with Histogram Folder
Figure 3.16: Save GIF File
Chapter 4: Customizing Your Session
Figure 4.1: Viewer Settings Dialog, Viewer Tab
Figure 4.2: Viewer Settings Dialog, Table Tab
Figure 4.3: Viewer Settings Dialog, Variables Tab
Figure 4.4: Viewer Settings Dialog, Output Tab
Figure 4.5: Graph Settings Dialog
Figure 4.6: Color Attributes Dialog
Figure 4.7: Point Symbols
Figure 4.8: Pattern Choices
Figure 4.9: Graphics Fonts Dialog
Figure 4.10: Save Options Button
Figure 4.11: Titles Dialog, Global Tab
Figure 4.12: Titles Dialog, Task Tab
Figure 4.13: Titles Dialog, Settings Tab
Figure 4.14: Wider Project Tree Window Setting
Figure 4.15: Open Data Files for Edit
Figure 4.16: Sort Candidate Variables by Alphabetical Order
Figure 4.17: Create HTML File of Results
Figure 4.18: HTML Results Node
Figure 4.19: Select Point and Line Display Color
Figure 4.20: Select Bar and Contour Rectangle Pattern
Figure 4.21: Specifying a Global Title
Chapter 5: Creating Graphs
Figure 5.1: Vertical Bar Chart Dialog
Figure 5.2: Number of Bars Tab
Figure 5.3: Bar Values Tab
Figure 5.4: Appearance Tab
Figure 5.5: Statistics Tab
Figure 5.6: Details Tab
Figure 5.7: Titles Dialog, Bar Chart Tab
Figure 5.8: Vertical Bar Chart- Variables Dialog
Figure 5.9: Chart and Grouping Variables
Figure 5.10: Number of Bars
Figure 5.11: Bar Values
Figure 5.12: Bar Outlines
Figure 5.13: Bar Appearance
Figure 5.14: Bar Chart Title
Figure 5.15: Global Title
Figure 5.16: Vertical Bar Chart
Figure 5.17: Pie Chart Dialog
Figure 5.18: Number of Slice Tab
Figure 5.19: Slice Values Tab
Figure 5.20: Labels Tab
Figure 5.21: Appearance Tab
Figure 5.22: Details Tab
Figure 5.23: Pie Chart Variable and Type
Figure 5.24: Number of Slices in Pie Chart
Figure 5.25: Statistic to Chart
Figure 5.26: Pie Chart Labels
Figure 5.27: Deselect Default Heading
Figure 5.28: Pie Chart Title
Figure 5.29: Global Title
Figure 5.30: 3-D Pie Chart
Figure 5.31: 2-D Scatter Plot Dialog
Figure 5.32: 2-D Scatter Plot- Display Dialog
Figure 5.33: 3-D Scatter Plot- Display Dialog
Figure 5.34: Titles Dialog, 3-D Scatter Plot Tab
Figure 5.35: Scatter Plot Variables
Figure 5.36: Display Options
Figure 5.37: Scatter Plot Title
Figure 5.38: Global Title
Figure 5.39: 2-D Scatter Plot
Chapter 6: Creating Reports
Figure 6.1: List Data Dialog
Figure 6.2: General Tab
Figure 6.3: Sum Tab
Figure 6.4: Titles Dialog, List Data Tab
Figure 6.5: List Data- Variables Dialog
Figure 6.6: Columns in Report
Figure 6.7: Use Column Labels as Column Headings
Figure 6.8: List Data Title
Figure 6.9: Exclude Date and Page Number
Figure 6.10: Data Listing
Figure 6.11: Reports Menu
Figure 6.12: First Report Style
Figure 6.13: Statistics Tab
Figure 6.14: Analysis Variables Tab
Figure 6.15: Summary Tab
Figure 6.16: Second Report Style
Figure 6.17: Row Classes Tab
Figure 6.18: Third Report Style
Figure 6.19: Fourth Report Style
Figure 6.20: Column Classes Tab
Figure 6.21: Fifth Report Style
Figure 6.22: Select the Fifth Report Style
Figure 6.23: Select a Column Class
Figure 6.24: Select an Analysis Variable
Figure 6.25: Select a Statistic
Figure 6.26: Select a Row Class
Figure 6.27: Report Layout
Figure 6.28: Include Summary Row
Figure 6.29: Type Missing Value Text
Figure 6.30: Add a Title
Figure 6.31: Suppress Date and Page Numbers
Figure 6.32: Display Report in Fifth Report Style
Chapter 7: Descriptive Statistics
Figure 7.1: Descriptive Menu
Figure 7.2: Frequency Counts Dialog
Figure 7.3: Frequency Counts- Plots Dialog
Figure 7.4: Frequency Counts- Project Tree
Figure 7.5: Frequency Counts- One-Way Frequencies of the Variable region
Figure 7.6: Frequency Counts- Horizontal Bar Chart by Region
Figure 7.7: Summary Statistics Dialog
Figure 7.8: Summary Statistics- Plots Dialog
Figure 7.9: Summary Statistics- Project Tree
Figure 7.10: Summary Statistics- Statistics for birth and death
Figure 7.11: Summary Statistics- Box-and-Whisker Plot for Birth Rate by Region
Figure 7.12: Distributions Dialog
Figure 7.13: Distributions- Plots Dialog
Figure 7.14: Distributions- Fit Dialog
Figure 7.15: Distributions- Project Tree
Figure 7.16: Distributions- Fitted Distributions Results
Figure 7.17: Distributions- Histogram for birth
Figure 7.18: Correlations Dialog
Figure 7.19: Correlations- Plots Dialog
Figure 7.20: Correlations- Project Tree
Figure 7.21: Correlations- Univariate Statistics
Figure 7.22: Correlations- Table of Correlations
Figure 7.23: Correlations- Scatter Plot with Confidence Ellipse
Chapter 8: Hypothesis Tests
Figure 8.1: Hypothesis Tests Menu
Figure 8.2: One-Sample t-Test Dialog
Figure 8.3: One-Sample t-Test- Tests Dialog
Figure 8.4: One-Sample t-Test- Plots Dialog
Figure 8.5: One-Sample t-Test- Output
Figure 8.6: One-Sample t-Test- t Distribution Plot
Figure 8.7: Paired t-test Dialog
Figure 8.8: Paired t-test- Plots Dialog
Figure 8.9: Paired t-test- Results
Figure 8.10: Paired t-test- Box-and-Whisker Plot
Figure 8.11: Paired t-test- Means Plot
Figure 8.12: Two-Sample Test for Proportions Dialog
Figure 8.13: Two-Sample Test for Proportions- Results
Figure 8.14: Two-Sample Test for Variances Dialog
Figure 8.15: Two-Sample Test for Variances- Plots Dialog
Figure 8.16: Two-Sample Test for Variances- Output
Figure 8.17: Two-Sample Test for Variances- Box-and-whisker Plot
Chapter 9: Table Analysis
Figure 9.1: Table Analysis Selection Menu
Figure 9.2: Data Set Bandaid in the Data Table
Figure 9.3: Table Analysis Task for Band-Aid Study
Figure 9.4: Statistics Dialog
Figure 9.5: Tables Dialog
Figure 9.6: Frequency Table for Bandaid Data
Figure 9.7: Chi-Square Statistics for Bandaid Data
Figure 9.8: Odds Ratio for Bandaid Data
Figure 9.9: Data Set Gym in the Data Table
Figure 9.10: Table Analysis Task for Health Club Study
Figure 9.11: Frequency Table for Gym Data
Figure 9.12: Chi-square Statistics for Gym Data
Figure 9.13: Statistics Dialog
Figure 9.14: Exact Test Results
Figure 9.15: Data Set Studybandaid in the Data Table
Figure 9.16: Table Analysis Task for Band-Aid Study
Figure 9.17: Frequency Table for Clinic A
Figure 9.18: Table Statistics for Clinic A
Figure 9.19: Frequency Table for Clinic B
Figure 9.20: Table Statistics for Clinic B
Figure 9.21: CMH Summary Table
Figure 9.22: Odds Ratio
Figure 9.23: Data Set Piano in the Data Table
Figure 9.24: Table Analysis Task for Music Study
Figure 9.25: Statistics Dialog
Figure 9.26: Piano Agreement Frequency Table
Figure 9.27: Measures of Agreement
Chapter 10: Analysis of Variance
Figure 10.1: Analysis of Variance Menu
Figure 10.2: Recoding Ranges Information- Defining the New Variable
Figure 10.3: Recoding Ranges- Defining the Values for the New Variable
Figure 10.4: One-Way ANOVA Dialog
Figure 10.5: One-Way ANOVA- Means Dialog
Figure 10.6: One-Way ANOVA- Plots Dialog
Figure 10.7: One-Way ANOVA- Analysis Results
Figure 10.8: One-Way ANOVA- Multiple Comparisons Results
Figure 10.9: One-Way ANOVA- Box-and-Whisker Plot
Figure 10.10: Nonparametric One-Way ANOVA- Main Dialog
Figure 10.11: Nonparametric One-Way ANOVA- Tests Dialog
Figure 10.12: Nonparametric One-Way ANOVA- Kruskal-Wallis Test Results
Figure 10.13: Nonparametric One-Way ANOVA- Ansari-Bradley Test Results
Figure 10.14: Factorial ANOVA Dialog
Figure 10.15: Factorial ANOVA- Model Dialog
Figure 10.16: Factorial ANOVA- Plots Dialog
Figure 10.17: Factorial ANOVA- Analysis Results
Figure 10.18: Factorial ANOVA- Means Plot
Figure 10.19: Linear Models Dialog
Figure 10.20: Linear Models- Model Dialog
Figure 10.21: Linear Models- Tests Dialog
Figure 10.22: Linear Models- Plots Dialog
Figure 10.23: Linear Models- ANOVA Results
Figure 10.24: Linear Models- Power Analysis
Figure 10.25: Linear Models- Observed Ozone Levels versus Predicted Values
Chapter 11: Regression
Figure 11.1: Regression Menu
Figure 11.2: Simple Linear Regression Dialog
Figure 11.3: Simple Linear Regression- Plots Dialog
Figure 11.4: Simple Linear Regression- Results
Figure 11.5: Simple Linear Regression- Scatter Plot with Regression Line
Figure 11.6: Linear Regression Dialog
Figure 11.7: Linear Regression- Statistics Dialog, Statistics Tab
Figure 11.8: Linear Regression- Statistics Dialog, Tests Tab
Figure 11.9: Linear Regression- Plots Dialog, Residual Tab
Figure 11.10: Linear Regression- ANOVA Table and Parameter Estimates
Figure 11.11: Linear Regression- Confidence Limits and Collinearity Analysis
Figure 11.12: Linear Regression- Plot of Studentized Residuals versus Predicted Values
Figure 11.13: Logistic Regression Dialog
Figure 11.14: Logistic Regression- Model Dialog, Model Tab
Figure 11.15: Logistic Regression- Model Dialog, Include Tab
Figure 11.16: Logistic Regression- Analysis Results
Figure 11.17: Logistic Regression- Analysis Results
Chapter 12: Sample Size and Power Calculations
Figure 12.1: Sample Size Menu
Figure 12.2: Sample Size Dialog for One-Sample t-test
Figure 12.3: Sample Size Dialog for One-Sample t-test
Figure 12.4: Sample Size Results for One-Sample t-test
Figure 12.5: Plot of Power versus Sample Size
Figure 12.6: Sample Size Dialog for Paired Confidence Interval
Figure 12.7: Completed Sample Size Dialog for Paired Confidence Interval
Figure 12.8: Sample Size Results for Paired Confidence Interval
Figure 12.9: Plot for Paired Confidence Interval
Figure 12.10: Sample Size Dialog for One-Sample Equivalence
Figure 12.11: Sample Size Dialog for One-Sample Equivalence
Figure 12.12: Results for One-Sample Equivalence
Figure 12.13: Sample Size Dialog for One-Way ANOVA
Figure 12.14: Sample Size Dialog for One-Way ANOVA
Figure 12.15: Results for Power Computations for One-Way ANOVA
Chapter 13: Multivariate Techniques
Figure 13.1: Multivariate Menu
Figure 13.2: Principal Components Dialog
Figure 13.3: Principal Components- Plots Dialog, Scree Plot Tab
Figure 13.4: Principal Components- Plots Dialog, Component Plot Tab
Figure 13.5: Principal Components- Simple Statistics and Correlations
Figure 13.6: Principal Components- Eigenvectors and Eigenvalues
Figure 13.7: Principal Components- Scree Plot
Figure 13.8: Principal Components- Scores and Component Loading Plot
Figure 13.9: Canonical Correlation Dialog
Figure 13.10: Canonical Correlation- Statistics Dialog, Canonical Analysis Tab
Figure 13.11: Canonical Correlation- Plots Dialog
Figure 13.12: Canonical Correlation- Correlations and Eigenvalues
Figure 13.13: Canonical Correlation- Correlation Coefficients
Figure 13.14: Canonical Correlation- Canonical Structure
Figure 13.15: Canonical Correlation- Plot of the First Canonical Variables
Chapter 14: Survival Analysis
Figure 14.1: Survival Analysis Menu
Figure 14.2: Life Tables Dialog
Figure 14.3: Life Tables- Plots Dialog
Figure 14.4: Life Tables- Project Tree
Figure 14.5: Life Tables- Results
Figure 14.6: Life Tables- Test for Equality over Strata
Figure 14.7: Life Tables- Survivor Distribution Plot
Figure 14.8: Proportional Hazards Dialog
Figure 14.9: Proportional Hazards- Results
Chapter 15: Mixed Models
Figure 15.1: Mixed Models Menu
Figure 15.2: Mixed Models Dialog
Figure 15.3: Mixed Models- Model Dialog
Figure 15.4: Mixed Models- Means Dialog
Figure 15.5: Mixed Models- Project Tree
Figure 15.6: Mixed Models- Model Information
Figure 15.7: Mixed Models- Covariance Estimates and Tests for Fixed Effects
Figure 15.8: Mixed Models- Least Squares Means
Figure 15.9: Mixed Model- Plots Dialog
Figure 15.10: Mixed Models- Project Tree
Figure 15.11: Mixed Models- Analysis Results
Figure 15.12: Mixed Models- Residuals Plot
Chapter 16: Repeated Measures
Figure 16.1: Repeated Measures Menu
Figure 16.2: Weightsmult Data
Figure 16.3: Stack Columns Dialog
Figure 16.4: Stack Columns- Project Tree
Figure 16.5: Recode Values Information Dialog
Figure 16.6: Recode Values Dialog
Figure 16.7: Weightsuni Data
Figure 16.8: Repeated Measures Dialog
Figure 16.9: Repeated Measures- Model Dialog, Subjects Tab
Figure 16.10: Repeated Measures- Model Dialog, Model Tab
Figure 16.11: Repeated Measures- Model Dialog, Repeated Tab
Figure 16.12: Repeated Measures- Model Dialog, Covariance Structure Tab
Figure 16.13: Repeated Measures- Project Tree
Figure 16.14: Repeated Measures- Model Information
Figure 16.15: Repeated Measures- Fitting Information
Figure 16.16: Repeated Measures- Tests for Fixed Effects
Figure 16.17: Repeated Measures- Model Dialog, Covariance Structure tab
Figure 16.18: Repeated Measures- Test for Fixed Effects for Autoregressive Covariance
Figure 16.19: Repeated Measures- Information Criteria Summary
Chapter 17: Details
Figure 17.1: Toolbars Tab
Figure 17.2: Customize Tab
< Day Day Up >
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The Analyst Application, Second Edition
ISBN: 158025991X
EAN: 2147483647
Year: 2003
Pages: 116
Authors:
SAS Publishing
BUY ON AMAZON
MySQL Stored Procedure Programming
Conclusion
Using MySQL with PHP Data Objects
Using Stored Programs in ASP.NET
Stored Program Security
Tuning Table Access
Interprocess Communications in Linux: The Nooks and Crannies
Summary
Creating a Shared Memory Segment
Using Broadcasting to Search for an RPC Service
A.1. Manual Page Sections
C.4. Some RPC Examples
Building Web Applications with UML (2nd Edition)
The Artifacts
Activities
Web Application Extension for UML
Sample Screen Shots
Analysis Model Collaborations
Managing Enterprise Systems with the Windows Script Host
Introduction
Registry Operations
Network Administration/WMI
Messaging Operations
Internet Information Server
Comparing, Designing, and Deploying VPNs
Deploying Site-to-Site and Remote Access VPNs: A Comparison
Ensuring High Availability in an IPsec VPN
Summary
Comparing IPsec Remote Access VPNs with Other Types of Remote Access VPNs
Appendix A. VPLS and IPLS Layer 2 VPNs
MPLS Configuration on Cisco IOS Software
Basic MPLS VPN Overview and Configuration
Option 1: Inter-Provider VPN Using Back-to-Back VRF Method
Local Switching
Command Reference
Case Study 6: Implementing Class-Based Tunnel Selection with MPLS Traffic Engineering
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