Accepting the null hypothesis, when it is incorrect. This is known as
A. error of data
B. error of statistics
C. error of tools
D. None of these
Answer: Option B
A. error of data
B. error of statistics
C. error of tools
D. None of these
Answer: Option B
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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