A Worker asked 76 interns to randomly pick a natural number from 1 to 5.
Numbered Picked:
1=8 2=14 3=24 4=21 5=9
Does the data provide enough evidence at the 1% significance level, to show that the student's version of random selection is not the same as simple random sampling?
Category | Observed Frequency (O) | Proportion, p | Expected Frequency (E) | (O-E)²/E |
1 | 8 | 0.2 | 76 * 0.2 = 15.2 | (8 - 15.2)²/15.2 = 3.4105 |
2 | 14 | 0.2 | 76 * 0.2 = 15.2 | (14 - 15.2)²/15.2 = 0.0947 |
3 | 24 | 0.2 | 76 * 0.2 = 15.2 | (24 - 15.2)²/15.2 = 5.0947 |
4 | 21 | 0.2 | 76 * 0.2 = 15.2 | (21 - 15.2)²/15.2 = 2.2132 |
5 | 9 | 0.2 | 76 * 0.2 = 15.2 | (9 - 15.2)²/15.2 = 2.5289 |
Total | 76 | 1.00 | 76 | 13.3421 |
Ho: Proportions are same.
H1: Proportions are different.
Test statistic:
χ² = ∑ ((O-E)²/E) = 13.3421
df = n-1 = 4
Critical value:
χ²α = CHISQ.INV.RT(0.01, 4) = 13.2767
p-value:
p-value = CHISQ.DIST.RT(13.3421, 4) = 0.0097
Decision:
p-value < α, Reject the null hypothesis
There is enough evidence to conclude that the student's version of random selection is not the same as simple random sampling.
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