Computer-interactive data analysis
Describes computer methods of statistical analysis of data. It comes with a statistical computer package (SPIDA) and includes 70 actual data sets that the reader can analyze utilizing SPIDA. Areas covered are: multiple comparisons, straight-line data, multiple regression, two-way anova, categorical, epidemiologic, and multivariate data.
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analysis of variance Andrews and Herzberg anova assumption box plots cancer canonical correlation analysis Chapter Coeff StErr Pvalue coefficients column effect Column Name Coeff contains correlation matrix corresponding covariance data array data file data set data structure death rates decathlon degrees of freedom eigenvalues eigenvectors entering the command Euclidean distances factor analysis following printout goodness-of-fit graph histograms indicator variables interaction kangaroos label Linear Regression Linear Regression Analysis logarithms logistic regression Mahalanobis distances Mean StDev measurements method metres missing values multiple regression multivariate Name Coeff StErr Name Size Mean nonparametric normal scores normally distributed null hypothesis Olympic outliers output window p-value package patients predictor variables principal components analysis procedure produces qualifier recoded Regression Analysis Response residuals response variable result sample scatterplot skewness species SPIDA SS 0 Constant standard deviation StDev Min Max StErr Pvalue SS sum of squares t-test transformation treatment groups whilst