choosing a stat test for data analysis.pptx

statistics

1. CHOOSING A STATISTICAL TEST DR SYED ATA UL MUNAMM

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4. Statistical tests are tools They measure significance of your results

5. P value <0.05(5%) 95% Confidence interval 2.5(1.5-5.5) An in many more ways

6. Classification of statistical test Paramteric tests Non parameteric tests

7. Steps See what type of data are you measuring Quantitative or qualitative Check Normality This Photo by Unknown Author is licensed under CC BY-SA This Photo by Unknown Author is licensed under CC BY-NC

8. Continue.. Type of analysis Comparison/Difference Association/ Relationship Prediction Design One group one data set One group two data set or more(Paired) Two group two data set or more(Unpaired) More than two groups & data sets

9. Paired study Design

10. Type of data&Distribution Comparison Association/ Relationship Prediction 2 data set >2 data set Paired unpaired Paired unpaired Continuous with Normal Distribution (Mean) Paired t-test Unpaired t test Two way ANOVA One way ANOVA Pearson correlation Linear Regression Ordinal Non- Normal Distribution (Median) Wilcoxon signed Rank Wilcoxon signed Rank Mann whitening ‘U’ test Friedman test Kruskal Wallis Spearman correlation Non Parametric regression Nominal Dichotomous data McNemar test Chi Square Cochran Q test Chi square Contingency Coefficient Logistic regression

11. Choosing a Statistical test