Statistical Methods - Biostatistics

Overview

This course covers the fundamentals of statistical methods in biostatistics, focusing on hypothesis testing, z test, chi-square test, Student's t test, and Fisher's F test. By the end of the course, students will be able to understand and apply different statistical tests, interpret results, and make informed decisions based on data analysis. The course teaches skills such as formulating null and alternative hypotheses, calculating critical values, and conducting various tests. The teaching method includes theoretical explanations, practical examples, and numerical problem-solving sessions. This course is intended for individuals interested in biostatistics, healthcare professionals, researchers, and students in related fields looking to enhance their statistical analysis skills.

Syllabus

Part 1: Hypothesis Testing - Basics | z Test | Null & Alternative Hypothesis.
Part 2: Hypothesis Testing Related Questions | z Test| Null and Alternative Hypothesis.
Part 3: Hypothesis Testing Related Questions | z Test| Null and Alternative Hypothesis.
Part 4: Hypothesis Testing Related Questions | z Test | Null and Alternative Hypothesis.
Part 1: Student's t-test | Basics and Fundamental Properties of t-distribution.
Part 2: Student's t-test | Applications and related Formulas | Paired and Unpaired t-tests.
Part 3: Students t-test | Questions and Solutions | Unpaired Student's t-test.
Part 4: Student's t test | Questions and Solutions.
Part 5: Student's t test | Questions and Solutions.
Part 6: Student's t test | Questions and Solutions.
Part 1: Chi Square Test (χ2)| Basics, Formula and Conditions to Apply.
Part 2: Chi Square Test (χ2) - Applications | Goodness of Fit Test.
Part 3: Chi Square Test (χ2)| Question and Solution.
Part 4: Chi Square Test (χ2)| Question and Solution.
Part 5: Chi Square Test (χ2)| Question and Solution.
Part 6: Chi Square Test (χ2)| Question and Solution.
Part 1: F Test - Introduction and Formula.
Part 2: F Test | Properties of F Distribution.
Part 3: F Test | Question and Solution.
Part 4: F Test | Question and Solution.
Part 1: ANOVA - Introduction and Basics | Analysis of Variance.
Part 2: One Way ANOVA | Steps Involved in ANOVA | Analysis of Variance.
Part 3: One Way ANOVA - Numerical Problems | Analysis of Variance.
Part 4: One Way ANOVA - Numerical Problems | Analysis of Variance.
Part 5: Two Way ANOVA | Steps Involved in Analysis of Variance | ANOVA.
Part 6: Two Way ANOVA | Numerical Problems of Analysis of Variance | ANOVA.
Part 7: Two Way ANOVA | Numerical Problems of Analysis of Variance | ANOVA.