According to classical approach, if an experiment has 'n' simple outcome, each outcome will have probability equal to
A. n
B. $$\frac{1}{n}$$
C. $$\frac{1}{{{n^2}}}$$
D. None of these
Answer: Option B
A. n
B. $$\frac{1}{n}$$
C. $$\frac{1}{{{n^2}}}$$
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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