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If in a test of 50 items with means of 30 and standard deviation of 6, which will be the reliability of the test?
Question



If in a test of 50 items with means of 30 and standard deviation of 6, which will be the reliability of the test?

A.

0.86

B.

0.69

C.

0.78

D.

0.68

Correct option is D

To calculate the reliability of a test, Kuder-Richardson Formula 21 (KR-21) is commonly used. The formula is as follows:
r=KK−1(1−M(K−M)K(SD2))r = \frac{K}{K - 1} \left(1 - \frac{M(K - M)}{K(SD^2)}\right)r=K−1K​(1−K(SD2)M(K−M)​)
Where:
· rrr: Reliability coefficient
· KKK: Number of items in the test
· MMM: Mean score
· SDSDSD: Standard deviation of the scores
Step-by-Step Calculation: 1. Given Values:
· K=50K = 50K=50 (Number of items)
· M=30M = 30M=30 (Mean score)
· SD=6SD = 6SD=6 (Standard deviation)
2. Compute SD2SD^2SD2 (Variance):
SD2=62=36SD^2 = 6^2 = 36SD2=62=36
3. Substitute into KR-21 Formula:
r=5050−1(1−30(50−30)50(36))r = \frac{50}{50 - 1} \left(1 - \frac{30(50 - 30)}{50(36)}\right)r=50−150​(1−50(36)30(50−30)​) r=5049(1−30(20)1800)r = \frac{50}{49} \left(1 - \frac{30(20)}{1800}\right)r=4950​(1−180030(20)​) r=5049(1−6001800)r = \frac{50}{49} \left(1 - \frac{600}{1800}\right)r=4950​(1−1800600​) r=5049(1−0.3333)r = \frac{50}{49} \left(1 - 0.3333\right)r=4950​(1−0.3333) r=5049×0.6667r = \frac{50}{49} \times 0.6667r=4950​×0.6667 r≈0.68r \approx 0.68r≈0.68
Correct Answer: (d) 0.68 Information Booster: 1. Reliability refers to the consistency of test scores. Higher reliability indicates that the test produces stable results across multiple administrations.
2. KR-21 is used for dichotomous items (e.g., correct/incorrect responses). It assumes all items measure the same construct.
3. A reliability coefficient (rrr) closer to 1 indicates higher reliability.

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