Which of the following data collection methods is most suitable when the area of investigation is large and funds are limited? MCQ with Answer and Explanation

Which of the following data collection methods is most suitable when the area of investigation is large and funds are limited?
A. Mailed questionnaire
B. Schedule through enumerators
C. Direct personal interview
D. Observation method
Answer: Option A
Solution (By JKExamLibrary)
Mailed questionnaire is economical and can cover a wide area with limited resources.

This question belongs to: Accountancy and Statistics Statistics

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Practice More Statistics Questions

Question #1 Report Error
If a dataset has values ranging from 10 to 95 and you decide to use a class width of 10, how many classes would be needed for an exclusive frequency distribution?
A. 9
B. 10
C. 11
D. 8

Correct Answer: Option A


Explanation:
Range = 95 - 10 = 85. Number of classes = Range / Class width = 85 / 10 = 8.5, rounded up to 9 classes to cover the entire data range without gaps.

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Question #2 Report Error
If a population has a high infant mortality rate, its life expectancy at birth is likely:
A. High
B. Equal to fertility
C. Low
D. Unaffected

Correct Answer: Option C


Explanation:
High infant deaths reduce the average life expectancy.

This question belongs to: Accountancy and Statistics Statistics
Question #3 Report Error
Assertion (A): Primary data collection is generally more time-consuming than secondary data collection. Reason (R): Primary data requires designing instruments, sampling, and fieldwork, whereas secondary data is readily available.
A. Both A and R are true, but R is not the correct explanation of A
B. Both A and R are true, and R is the correct explanation of A
C. A is true but R is false
D. A is false but R is true

Correct Answer: Option B


Explanation:
Primary data collection involves extensive planning, instrument design, sampling, and field execution, making it inherently more time-intensive than accessing pre-existing secondary data.

This question belongs to: Accountancy and Statistics Statistics