Transcription of STATISTICAL ANALYSIS 101 - Learning Stream Login
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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.)
EXAMPLE: LOGISTIC REGRESSION OR CI p Race White 1 Non-white 8.18 1.39-48.10 0.020 Depression No 1 Yes 8.69 1.19-63.42 0.033 Obesity No 1 Yes 6.45 1.40-29.61 0.016
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20 STATISTICAL LEARNING METHODS, Learning, Statistical Methods, Learning Methods, STATISTICAL METHODS: PART 1:, STATISTICAL METHODS: PART 1: INTRODUCTION TO PROPENSITY SCORES IN, Introduction to Statistical Learning, Statistical Methods 13 Sampling Techniques, Methods, Statistical, Deep Learning, DISCREPANCY MODELS IN THE IDENTIFICATION, DISCREPANCY MODELS IN THE IDENTIFICATION OF LEARNING DISABILITY, Children with dyslexia, Data Mining for Education, Columbia University