Statement I When a null hypothesis gets rejected in statistical hypothesis testing, it is known as II type error in hypothesis testing.
Statement II When a sample is small sized and parametric value of the standard deviation is not known, Z-test is the most appropriate test for hypothesis testing.
A. Both statements are true
B. Both statements are false
C. Statement I is true, while Statement II is false
D. Statement I is false, while Statement II is true
Answer: Option B
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A. The central limit theorem
B. The law of statistical regularly
C. The law of inertia of large numbers
D. None of the above
The difference between sample statistic and its corresponding population parameter is
A. Sampling error
B. Measurement error
C. Coverage error
D. Non-response error
A. Both (A) and (R) are true
B. (A) is true, but (R) is false
C. (A) is false, but (R) is true
D. Both (A) and (R) are false
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