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STATISTICAL ANALYSIS 101

STATISTICAL ANALYSIS 101Dr. Marla KniewelNebraska Methodist CollegeOBJECTIVES Distinguish descriptive from inferential statistics Apply the decision path in determining STATISTICAL tests to use in data ANALYSIS Determine appropriate parametric or nonparametric STATISTICAL tests to use in data analysisResearch PurposeDescribe dataFrequenciesPercentagesMeans (SD)Examine differences2 GroupsPre-test / Post-test-t-test-Mann-Whitney Utest-Wilcoxen -Chi- squared > 2 Groups-ANOVA -ANCOVA-MANOVAPre-test / Post-test-RM-ANOVAE xamine relationshipsCorrelation Statistic-Pearson s r-Spearman Rho-Kendall s Tau-Chi-SquarePredict relationshipsRegression ANALYSIS -Linear Regression-Multiple regression-Logistic regressionLEVELS OF MEASUREMENT NominalOrdinalIntervalRatio Gender Ethnicity Marital status Zip code Religious affiliation Medical diagnosis Names of medications Pain scale (0-10) Age groups (18-25, 26-35, etc.)

- Chi-Squared > 2 Groups-ANOVA -ANCOVA - MANOVA Pre-test / Post-test-RM-ANOVA Examine relationships Correlation Statistic - Pearson’s r Spearman Rho Kendall’s Tau-Chi Square Predict relationships Regression Analysis - Linear Regression - Multiple regression - Logistic regression

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  Analysis, Statistical, Squared, Statistical analysis

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