If sample results fail to support the null hypothesis, we must conclude that something else is true, which is termed as
A. type I error
B. type II error
C. alternative hypothesis
D. None of these
Answer: Option C
A. type I error
B. type II error
C. alternative hypothesis
D. None of these
Answer: Option C
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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