Biostatistical Analysis Notes

Summary comprises of Textbook and Lecture Notes. Undertstanding when to apply two sample hypothesis tests regarding the difference in means (one-sided/two-sided t tests and equal/unequal variances); The assumptions underlying the two sample hypothesis testing; How to construct confidence intervals; The F test for difference between two variances ; The Mann-Whitney test; Paired-sample Hypothesis (one-sided/two sided t test, assumptions, condidence intervals)

Summary comprised of Textbook and Lecture notes One sample hypthesis testing, with regards to one-sided t tests and two-sided t tests; Explinations of assumptions underlying these t tests; Explination and examples on Confidence Intervals; The difference between parametric and non-parametric tests.

Summaries comprised of Textbook and Lecture Notes. Includes Definting the deferience between Observational studies and Experimental Studies ; All terminology associated with Experimental Design and thorough explinations of them.

Summary comprising of Textbook and Lecture Notes. Understanding the background and importance of multiple t tests ; How to execute the multiple hypthesis tests, ANOVA; Understanding the concept of completely randomised design; Explination of underlying assumptions from multiple hypothesis testing; Construct confidence intervals; Understanding the ANOVA model; The Kruskal-Wallis test.

Summary comprises of Textbook and Lecture Notes. Undertstanding when to apply two sample hypothesis tests regarding the difference in means (one-sided/two-sided t tests and equal/unequal variances); The assumptions underlying the two sample hypothesis testing; How to construct confidence intervals; The F test for difference between two variances ; The Mann-Whitney test; Paired-sample Hypothesis (one-sided/two sided t test, assumptions, condidence intervals)

Summary comprised of Textbook and Lecture notes One sample hypthesis testing, with regards to one-sided t tests and two-sided t tests; Explinations of assumptions underlying these t tests; Explination and examples on Confidence Intervals; The difference between parametric and non-parametric tests.

Summaries comprised of Textbook and Lecture Notes. Includes Definting the deferience between Observational studies and Experimental Studies ; All terminology associated with Experimental Design and thorough explinations of them.

Summary comprising of Textbook and Lecture Notes. Understanding the background and importance of multiple t tests ; How to execute the multiple hypthesis tests, ANOVA; Understanding the concept of completely randomised design; Explination of underlying assumptions from multiple hypothesis testing; Construct confidence intervals; Understanding the ANOVA model; The Kruskal-Wallis test.