1. Tests in biostatistics and how to apply them? Prepared by Ajay Prakash Uniyal Department of Plant Sciences Central University of Punjab

2. Common Biostatistics tests Estimate Population proportion One sample proportion Two sample proportion One sample t Two sample t Paired t Correlation/regression analysis One way ANOVA Two way ANOVA Chi square test One sample variance Two sample variance Wilcoxon ranked test Krusal wallis test

3. The common test arranged What type of data do you have? Categorical Quantitative How many samples do you have? One sample One sample with two measurements Two sample with natural pairing Three or more sample What is the test supposed to do? Compare data Seek relationship

4. Type of data Nominal Test involved Categorical Qualitative Non parametric Interval/ Ratio Quantitative Test for proportion, Difference of two proportions, chi square test for independence Test for mean, difference of two means (paired), difference of two mean independent sample, regression analysis

5. Samples One sample--------------  test for proportion, test for mean Two samples-------------  Difference of two proportions, difference of two means One sample two measurement--------  chi squrare, regression analysis, difference of two means (paired)

6. Purpose Comparing two statistics Looking for relationships------- chi square and regression analysis.

8. Parametric vs Non parametric test Non parametric Counts and ranks are relevant units instead of means. Corn yield as function of weeding Parametric Estimating parameters as mean and assume it to be normally distributed