Hypothesis Testing YouTube Lecture Handouts for NET, IAS, State-SET (KSET, WBSET, MPSET, etc.), GATE, CUET, Olympiads etc.
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Hypothesis Testing YouTube Lecture Handouts
Hypothesis Testing
Types of Errors & p-Region
Null Versus Alternative Hypothesis
Null Hypothesis (H0)
- No statistical significance between the two variables.
- Researcher is trying to disprove it.
- Individual is free from disease
- Relationship is due to chance
Alternative Hypothesis (Ha)
- Statistical significance between the two variables.
- Researcher is trying to approve it
- Individual has disease
- Relationship is not due to chance
- If is accepted, is rejected
P-Region
Errors in Hypothesis
True | |
---|---|
Decision About Retain | CORRECT |
Decision About Reject | Type I Error (α) |
Type I Error
- Reject when its true
- α error
- Error of first kind
- Error of excessive credulity
- False positive
- Poor specificity
- If a test shows that a person has kidney stone when in reality he/she does not
P-Value
- Probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis.
Errors in Hypothesis
True | False | |
---|---|---|
Decision About Retain | CORRECT | Type II Error |
Decision About Reject | Type I Error (α) | CORRECT |
Type II Error
- Accept H_0 when its false
- β error
- Error of second kind
- Error of excessive skepticism
- False negative
- Low sensitivity
- If a test shows that a person is not having kidney stone when in reality he/she does have a kidney stone.
✍ Manishika