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Overview Of Hypothesis Testing
Lesson 6 of 10 • 9 upvotes • 5:27mins
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.
Random Variables, Sampling And Estimation
10 lessons • 1h 8m
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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