In a sample survey, the difference between the sample estimate and the true population value is called: MCQ with Answer and Explanation

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In a sample survey, the difference between the sample estimate and the true population value is called:

A. Response error

B. Sampling error

C. Bias

D. Non-sampling error

Answer: Option B

Solution (By JKSSB Mock Tests)

Sampling error arises because only a part of the population is surveyed.

This question belongs to: Accountancy and Statistics Statistics

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Practice More Statistics Questions

Question #1

Which of the following is NOT a test of index numbers?

A. Mean test

B. Time reversal test

C. Factor reversal test

D. Circular test

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Correct Answer: Option A

Explanation:
Common tests are time reversal, factor reversal, and circular test. 'Mean test' is not standard.

This question belongs to: Accountancy and Statistics Statistics

Question #2

In a 2×2 attribute table, if (A)=400, (B)=500, N=1000, and observed (AB)=250, the expected (AB) under independence is:

A. 400

B. 300

C. 250

D. 200

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Correct Answer: Option D

Explanation:
Expected (AB) = (A)×(B)/N = 400×500/1000 = 200,000/1000 = 200. Observed 250 > 200 suggests positive association between attributes A and B.

This question belongs to: Accountancy and Statistics Statistics

Question #3

For given data Σp₁q₀=480, Σp₀q₀=400, Σp₁q₁=600, Σp₀q₁=500. Fisher's index is:

A. 120.0

B. 124.9

C. 122.5

D. 121.0

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Correct Answer: Option A

Explanation:
Laspeyres = 480/400×100=120; Paasche = 600/500×100=120; Fisher = √(120×120) = 120.

This question belongs to: Accountancy and Statistics Statistics

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