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Summary of Tasks

Statistical Tasks

The following tables provide a list of capabilities available in the Analyst Application statistical tasks (Statistics menu).

Table A.12: Capabilities in the Descriptive: Summary Statistics Task
Capability Dialog
Box-and-whisker plotPlots
Coefficient of variationStatistics
Corrected sum of squaresStatistics
HistogramPlots
KurtosisStatistics
MaximumStatistics
MeanStatistics
MedianStatistics
MinimumStatistics
Number of missing observationsStatistics
Number of observationsStatistics
Output appearanceOutput
Probability of tStatistics
RangeStatistics
SkewnessStatistics
Standard deviationStatistics
Standard errorStatistics
Student's tStatistics
SumStatistics
Uncorrected sum of squaresStatistics
VarianceStatistics

Table A.13: Capabilities in the Descriptive: Distributions Task
Capability Dialog
Box-and-whisker plotPlots
Descriptive statisticsdefault
Exponential, fitted distributionFit
Extreme observationsdefault
HistogramPlots
Lognormal, fitted distributionFit
Mediandefault
Momentsdefault
Normal, fitted distributionFit
Percentilesdefault
Probability plotPlots
Quantile-quantile plotPlots
Quantilesdefault
Sign statisticdefault
Signed rank statisticdefault
Tests for locationdefault
Weibull, fitted distributionFit

Table A.14: Capabilities in the Descriptive: Correlations Task
Capability Dialog
Confidence ellipsesPlots
Corrected SSCP matrixOptions
CovariancesOptions
Cronbach's alphaOptions
Descriptive statisticsOptions
Hoeffding's DOptions
Kendall's tau-bOptions
p-valuesOptions
Pearson correlationsOptions
Scatter plotsPlots
Spearman correlationsOptions
SSCP matrixOptions

Table A.15: Capabilities in the Descriptive: Frequency Counts Task
Capability Dialog
Bar chartsPlots
Cumulative frequenciesTables
Cumulative percentagesTables
FrequenciesTables
Order, variable levelsInput
PercentagesTables

Table A.16: Capabilities in the Table Analysis Task
Capability Dialog
Chi-square statisticsStatistics
Fisher's exact test for r×c tablesStatistics
FrequenciesTables
Likelihood ratio chi-squareStatistics
Mantel-Haenszel statisticsStatistics
McNemar's test for 2×2 tablesStatistics
Measures of agreementStatistics
Measures of associationStatistics
Odds ratios for 2×2 tablesStatistics
Order, variable levelsInput
Pearson chi-squareStatistics
Pearson correlation coefficientStatistics
PercentagesTables
Simple kappa coefficientStatistics
Spearman correlation coefficientStatistics
Weighted kappa coefficientStatistics

Table A.17: Capabilities in the Hypothesis Tests: One-Sample Z-test for a Mean Task
Capability Dialog
Alternative hypothesesMain
Bar chartPlots
Box-and-whisker plotPlots
Confidence intervalsTests
Mean comparison valueMain
Normal distribution plotPlots
Population standard deviationMain
Population varianceMain
Power analysisTests

Table A.18: Capabilities in the Hypothesis Tests: One-Sample t-test for a Mean Task
Capability Dialog
Alternative hypothesesMain
Bar chartPlots
Box-and-whisker plotPlots
Confidence intervalsTests
Mean comparison valueMain
Power analysisTests
t distribution plotPlots

Table A.19: Capabilities in the Hypothesis Tests: One-Sample Test for a Proportion Task
Capability Dialog
Alternative hypothesesMain
Bar chartPlots
Confidence intervalsTests
Normal distribution plotPlots

Table A.20: Capabilities in the Hypothesis Tests: One-Sample Test for a Variance Task
Capability Dialog
Alternative hypothesesMain
Box-and-whisker plotPlots
Confidence intervalsTests
Probability distribution plotPlots
Variance comparison valueMain

Table A.21: Capabilities in the Hypothesis Tests: Two-Sample t-test for Means Task
Capability Dialog
Alternative hypothesesMain
Bar chartPlots
Box-and-whisker plotPlots
Confidence intervalsTests
Mean comparison valueMain
Means plotPlots
Power analysisTests
Stacked dataMain
t distribution plotPlots
Unstacked dataMain

Table A.22: Capabilities in the Hypothesis Tests: Two-Sample Paired t-test for Means Task
Capability Dialog
Alternative hypothesesMain
Bar chartPlots
Box-and-whisker plotPlots
Confidence intervalsTests
Mean comparison valueMain
Means plotPlots
Power analysisTests
t distribution plotPlots

Table A.23: Capabilities in the Hypothesis Tests: Two-Sample Test for Proportions Task
Capability Dialog
Alternative hypothesesMain
Bar chartPlots
Confidence intervalsTests
Normal distribution plotPlots
Stacked dataMain
Unstacked dataMain

Table A.24: Capabilities in the Hypothesis Tests: Two-Sample Test for Variances Task
Capability Dialog
Alternative hypothesesMain
Box-and-whisker plotPlots
Confidence intervalsTests
Probability distribution plotPlots
Stacked dataMain
Unstacked dataMain

Table A.25: Capabilities in the ANOVA: One-Way ANOVA Task
Capability Dialog
Bonferroni t-testMeans
Box and whisker plotPlots
Duncan multiple-range testMeans
Means comparisonsMeans
Means plotsPlots
Power analysisTests
R-square statisticdefault
Residual plotsPlots
Tests of homogeneity of varianceTests
Tukey HSD testMeans
Welch's variance-weighted ANOVATests

Table A.26: Capabilities in the ANOVA: Nonparametric One-Way ANOVA Task
Capability Dialog
Ansari-Bradley testTests
Exact p-valuesTests
Klotz testTests
Kruskal-Wallis testTests
Median testTests
Mood testTests
Savage testTests
Siegel-Tukey testTests
Van der Waerden testTests
Wilcoxon testTests

Table A.27: Capabilities in the ANOVA: Factorial ANOVA Task
Capability Dialog
Adjusted R-square statisticdefault
Bonferroni t-testMeans
Covariance ratioPlots
Crossed effectsModel
DFFITSPlots
Duncan multiple-range testMeans
Factorial modelsModel
Influence plotsPlots
Interaction effectsModel
Least-squares meansMeans
LeveragePlots
Means comparisonsMeans
Means plotsPlots
Model buildingModel
Power analysisTests
Predicted valuesPredictions
Prediction limitsPredictions
R-square statisticdefault
Residual plotsPlots
Residual valuesPredictions
Residuals, ordinaryPlots
Residuals, standardizedPlots
Residuals, studentizedPlots
Tukey HSD testMeans
Type 1, 2, 3, 4 sum of squaresStatistics
Weighted least squaresTests

Table A.28: Capabilities in the ANOVA: Linear Models Task
Capability Dialog
Adjusted R-square statisticdefault
Bonferroni t-testMeans
Classification effectsMain
Covariance ratioPlots
Crossed effectsModel
DFFITSPlots
Duncan multiple-range testMeans
Factorial modelsModel
Influence plotsPlots
Interaction effectsModel
InterceptModel
Least-squares meansMeans
LeveragePlots
Means comparisonsMeans
Means plotsPlots
Model buildingModel
Multivariate testsTests
Nested effectsModel
Parameter estimatesStatistics
Polynomial effectsModel
Power analysisTests
Predicted plotsPlots
Predicted valuesPredictions
Prediction limitsPredictions
R-square statisticdefault
Residual plotsPlots
Residual valuesPredictions
Residuals, ordinaryPlots
Residuals, standardizedPlots
Residuals, studentizedPlots
Scatter plotsPlots
Tukey HSD testMeans
Type 1, 2, 3, 4 sum of squaresStatistics
Weighted least squaresTests

Table A.29: Capabilities in the ANOVA: Repeated Measures Task
Capability Dialog
Ante-dependence covariances, first orderModel
Autoregressive covariances, first orderModel
Chi-square test, likelihood ratioStatistics
Classification effectsMain
Compound symmetry covariancesModel
Confidence limits, covariance estimatesStatistics
Confidence limits, parameter estimatesStatistics
Covariance structuresModel
Crossed effectsModel
Factorial modelsModel
Fitting informationdefault
Huynh-Feldt covariancesModel
Information criteria summaryModel
Interaction effectsModel
InterceptModel
Least-squares meansMeans
Likelihood ratio testdefault
Means plotsPlots
Model buildingModel
Nested effectsModel
Parameter estimatesStatistics
Polynomial effectsModel
Predicted plotsPlots
Predicted valuesPredictions
Prediction limitsPredictions
Repeated effectModel
Residual plotsPlots
Residual valuesPredictions
Scatter plotsPlots
Subject effectModel
Toeplitz covariancesModel
Type 1, 2, 3 sum of squaresStatistics
Unstructured covariancesModel
Variance components structureModel

Table A.30: Capabilities in the ANOVA: Mixed Models Task
Capability Dialog
Classification effectsMain
Confidence levelOptions
Confidence limits, covariance parameter estimatesdefault
Confidence limits, fixed effects estimatesOptions
Confidence limits, random effects estimatesOptions
Covariance parameter estimatesdefault
Crossed effectsModel
Estimation methodsOptions
Factorial modelsModel
Fitting informationdefault
Fixed effectsModel
Interaction effectsModel
Intercept, fixed effectsModel
Least-squares meansMeans
Main effectsModel
Maximum likelihood estimationOptions
Means plots, fixed effectsPlots
Minimum variance quadratic unbiased estimationOptions
Model buildingModel
Nested effectsModel
Polynomial effectsModel
Predicted meansPredictions
Predicted value plotsPlots
Predicted values, including random effectsPredictions
Random effectsModel
REMLOptions
Residual maximum likelihood estimationOptions
Residual plotsPlots
Satterthwaite method, fixed effectsdefault
Scatter plotsPlots
Solution, fixed effects parametersOptions
Solution, random effects parametersOptions
Types 1, 2, 3 estimationOptions
Types 1, 2, 3 tests, fixed effectsTests
Variance components testsTests

Table A.31: Capabilities in the Regression: Simple Task
Capability Dialog
Adjusted R-square statisticdefault
Coefficient of variationdefault
Confidence limitsPlots
Confidence limits for estimatesStatistics
Correlation matrix of estimatesStatistics
Covariance matrix of estimatesStatistics
Covariance ratioPlots
Cubic modelMain
DFFITSPlots
Influence plotsPlots
LeveragePlots
Normal probability-probability plotPlots
Normal quantile-quantile plotPlots
Power analysisTests
Predicted valuesPredictions
Prediction limitsPlots
Quadratic modelMain
R-square statisticdefault
Residual plotsPlots
Residual valuesPredictions
Residuals, ordinaryPlots
Residuals, standardizedPlots
Residuals, studentizedPlots
Scatter plotsPlots
Standardized regression coefficientsStatistics

Table A.32: Capabilities in the Regression: Linear Task
Capability Dialog
Adjusted R-square model selectionModel
Adjusted R-square statisticdefault
Akaike's information criterionModel
Amemiya's prediction criterionModel
Asymptotic covariance matrixStatistics
Backward elimination model selectionModel
Bayesian information criterionModel
Coefficient of variationdefault
Collinearity analysisStatistics
Confidence limits for estimatesStatistics
Correlation matrix of estimatesStatistics
Covariance matrix of estimatesStatistics
Covariance ratioPlots
DFFITSPlots
Durbin-Watson statisticStatistics
Forward model selectionModel
Heteroscedasticity testStatistics
Influence plotsPlots
InterceptModel
LeveragePlots
Mallows' Cp model selectionModel
Mallows' Cp statisticModel
Maximum R-square improvement model selectionModel
Minimum R-square improvement model selectionModel
Multivariate statisticsStatistics
Normal probability-probability plotPlots
Normal quantile-quantile plotPlots
Partial correlationsStatistics
Power analysisTests
Predicted valuesPredictions
Prediction limitsPlots
R-square model selectionModel
R-square statisticdefault
Residual plotsPlots
Residual valuesPredictions
Residuals, ordinaryPlots
Residuals, standardizedPlots
Residuals, studentizedPlots
Scatter plotsPlots
Schwarz's bayesian criterionModel
Semi-partial correlationsStatistics
Standardized regression coefficientsStatistics
Stepwise model selectionModel
Stepwise regressionModel
Tolerance values for estimatesStatistics
Type 1 sum of squaresStatistics
Type 2 sum of squaresStatistics
Variance inflation factorsStatistics
Weighted least squaresTests

Table A.33: Capabilities in the Regression: Logistic Task
Capability Dialog
Association of predicted probabilities        and observed responsesdefault
Backward elimination model selectionModel
Best subset model selectionModel
CI displacementPlots
Classification effectsMain
Classification tableStatistics
Conditional odds ratiosStatistics
Confidence limitsStatistics
Correlation matrix of estimatesStatistics
Covariance matrix of estimatesStatistics
Crossed effectsModel
Deviance residualsPlots
DFBetasPlots
Difference in chi-square residualsPlots
Difference in deviance residualsPlots
Dispersion parameterStatistics
Factorial modelsModel
Fit statisticsdefault
Forward model selectionModel
Goodness-of-fit statisticsStatistics
Influence plotsPlots
Interaction effectsModel
LeveragePlots
Likelihood ratiodefault
Odds ratio estimatesdefault
Pearson residualsPlots
Polynomial effectsModel
Predicted valuesPredictions
Prior probabilitiesStatistics
Probability cutpointsStatistics
Profile likelihood limitsStatistics
Residual plotsPlots
Residual valuesPredictions
Response profiledefault
ROC curvePlots
Standardized estimatesdefault
Stepwise model selectionModel
Wald limitsStatistics

Table A.34: Capabilities in the Multivariate: Principal Components Task
Capability Dialog
Analysis of correlation matrixStatistics
Analysis of covariance matrixStatistics
Analysis of uncorrected matricesStatistics
Principal component scoresSave Data
Principal components plotPlots
Scree plotPlots

Table A.35: Capabilities in the Multivariate: Canonical Correlation Task
Capability Dialog
Canonical redundancy statisticsStatistics
Canonical variable plotPlots
Canonical variable scoresSave Data
Correlations of regression coefficientsStatistics
Number of canonical variablesStatistics
Partial correlationsStatistics
Partial variablesVariables
Regression analysisStatistics
Semi-partial correlationsStatistics
Squared multiple correlationStatistics
Standard error of coefficientsStatistics
Standardized regression coefficientsStatistics
t statistic and probabilityStatistics

Table A.36: Capabilities in the Survival: Life Tables Task
Capability Dialog
Censoring valuesMain
Confidence intervalsMethods
Hazard function plotsPlots
Life table methodMethods
Probability density function plotsPlots
Product-limit estimation methodMethods
Strata endpointsPlots
Survival estimatesdefault
Survival function plotsPlots

Table A.37: Capabilities in the Survival: Proportional Hazards Task
Capability Dialog
Backward elimination model selectionModel
Best subset model selectionModel
Censoring valuesMain
Confidence limits of hazard ratioMethods
Correlations of parameter estimatesMethods
Covariances of parameter estimatesMethods
Failure time ties, Breslow approximate likelihood methodMethods
Failure time ties, discrete logistic model methodMethods
Failure time ties, Efron approximate likelihood methodMethods
Failure time ties, exact conditional probability methodMethods
Forward model selectionModel
Global hypothesis testdefault
Stepwise model selectionModel
Survival function plotsPlots

The Sample Size tasks provide sample size and power calculations for several types of analyses and study designs. Power curves are available with each task. The types of sample size analyses available in the Analyst Application are as follows:

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