This is personal study note
Copyright and original reference:
https://www.youtube.com/watch?v=yNt3NnbsIzQ&list=PLsri7w6p16vtEz_J1G7HQG-Rm8vpZPtPS&index=2&t=0s
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- Establish hypothesis
- create p-value
- And judge hypothesis by p-value
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Null hypothesis and research hypothesis
- Hypothesis: "exclaim or guess" about "given fact" or "fact which you want to research"
- Null hypothesis: hypothesis with which you don't need to proceed the research, $$$H_0$$$
- Research hypothesis: $$$H_1$$$
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Testing: test "exclaim" about the given fact
- When you test, you create criterion called alpha
if result < alpha, $$$H_0$$$ is rejected
- If alpha is located in both side: two-sided test
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Two sided test
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One sided test
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statistics=calculate_statistics(data)
estimated_parameter_of_population=estimate_parameter(statistics)
estimated_parameter_of_population has "likelihood of wrong"
alpha:
- is probability of incorrect
- probability of correct is 1-alpha
- is called significant level
- is called p-value
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Power of hypothesis testing
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