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Overview Of Hypothesis Testing

Lesson 6 of 10 • 9 upvotes • 5:27mins

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Shreelekha Verma

This lesson throws light on explanation of Hypothesis Testing and difference between Null hypothesis and Alternate hypothesis. It then goes on to explain Type 1 error and Type 2 error which we can incur while choosing a hypothesis. Majorly you guys have to focus on z statistic - a formula for hypothesis testing at different significance level, in this lesson 5% significance level is used.

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1

Discrete Random Variables

7:03mins

2

Population Variance Of Discrete Random Variables

5:44mins

3

Population Covariance And Correlation

6:45mins

4

Understanding Of Sampling And Estimators

9:44mins

5

Estimators Of Variance, Covariance And Correlation

6:05mins

6

Overview Of Hypothesis Testing

5:27mins

7

Hypothesis Testing At 1% Significance Level

8:00mins

8

Proofs Of Variance And Covariance Rules

8:17mins

9

Exercise On The Concept Of Expected Value And Variance

6:04mins

10

Exercises On The Concept Of Unbiasedness And Efficiency

5:28mins

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