Overview
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.
Taught by
Dr. Puspendra Classes