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Consider the following statement and identify the wrong statements.
Statement I: Accepting null hypothesis, when it is false, is called a level of significance.
Statement II: $$1 - \alpha $$  is called power of a test.
Statement III: Critical value of $$Z$$ - static for two-tailed test at 5% level of significance is 1.96.

Consider the following statement and identify the wrong statements.
Statement I: Accepting null hypothesis, when it is false, is called a level of significance.
Statement II: $$1 - \alpha $$  is called power of a test.
Statement III: Critical value of $$Z$$ - static for two-tailed test at 5% level of significance is 1.96. Correct Answer Statements I and II

Related Questions

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Consider two relations R1(A, B) with the tuples (1, 5), (3, 7) and R2(A, C) = (1, 7), (4, 9). Assume that R(A, B, C) is the full natural outer join of R1 and R2. Consider the following tuples of the form (A, B, C): a = (1, 5, null), b = (1, null, 7), c = (3, null, 9), d = (4, 7, null), e = (1, 5, 7), f = (3, 7, null), g = (4, null, 9). Which one of the following statements is correct?
Statement I When a null hypothesis is true but as per the hypothesis testing, it is rejected; it is known as Type II error in hypothesis testing.
Statement II For testing the significance of the differences among the performance of more than two sample groups when the data are non-parametric, Kruskal-Wallis (H) test is appropriate.
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