Which of the following represents an open-end frequency distribution? MCQ with Answer and Explanation

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Which of the following represents an open-end frequency distribution?

A. 10-19, 20-29, 30-39

B. Below 10, 10-20, 20-30, Above 30

C. 10-20, 20-30, 30-40

D. 0-10, 10-20, 20-30

Answer: Option B

Solution (By JKExamLibrary)

Open-end distributions lack defined lower limits for the first class and/or upper limits for the last class.

This question belongs to: Accountancy and Statistics Statistics

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Practice More Statistics Questions

Question #1 Report Error

Bayes' theorem is primarily used to compute:

A. Posterior probability

B. Joint probability

C. Prior probability

D. Marginal probability

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Correct Answer: Option A

Explanation:
Bayes' theorem updates prior beliefs with new evidence to yield posterior probabilities.

This question belongs to: Accountancy and Statistics Statistics

Question #2 Report Error

Which of the following pairs of events are independent?

A. Selecting a student from a class: A = student is male, B = student plays on the football team (all footballers are male).

B. Rolling a die twice: A = first roll is 5, B = sum is 10.

C. Tossing a fair coin twice: A = first toss is head, B = second toss is tail.

D. Drawing two cards without replacement from a deck: A = first is an ace, B = second is an ace.

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Correct Answer: Option C

Explanation:
Coin tosses are independent. In A, without replacement, not independent. In B, outcome of first affects probability of sum. In D, P(B|A) >0 but P(B|A')=0, so not independent.

This question belongs to: Accountancy and Statistics Statistics

Question #3 Report Error

Which of the following statements about maternal mortality ratio (MMR) is incorrect?

A. MMR is a measure of fertility.

B. High MMR indicates poor maternal healthcare.

C. MMR has declined in India over recent decades.

D. MMR is the number of maternal deaths per 100,000 live births.

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Correct Answer: Option A

Explanation:
MMR is a mortality indicator, not a fertility measure.

This question belongs to: Accountancy and Statistics Statistics

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