Which of the following is not a condition of the binomial distribution?
A. Only 2 possible outcomes
B. Have a constant probability of success
C. Must have at least 3 trials
D. Trials must be independent
Answer: Option C
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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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