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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

Description:

Dive into a comprehensive 7-hour tutorial on biostatistics and statistical methods, covering essential topics such as hypothesis testing, z-tests, chi-square tests, Student's t-tests, and Fisher's F tests. Learn about samples and populations in statistics, one-tailed and two-tailed tests, significance levels, and the procedure for hypothesis testing. Explore critical z-values, null and alternative hypotheses, and gain practical experience through numerous questions and solutions. Delve into the fundamentals of t-distributions, paired and unpaired t-tests, goodness of fit tests, and the properties of F distributions. Conclude with an in-depth look at Analysis of Variance (ANOVA), including both one-way and two-way ANOVA techniques, accompanied by step-by-step explanations and numerical problems to reinforce your understanding of these crucial biostatistical concepts.

Statistical Methods - Biostatistics

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#Science #Biology #Biostatistics #Data Science #Data Analysis #Mathematics #Statistics & Probability #Hypothesis Testing #Statistical Methods

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