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You receive a brochure from a large university. The brochure indicates that the mean class size for full-time faculty is fewe
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Solution:
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The claim is the mean class size for full-time faculty is fewer than 33 so null and alternative hypothesis can be written as
Null hypothesis H0: \mu = 33
Alternative hypothesis Ha:\mu < 33
So its correct answer is F.
Number of sample = 18
The sample mean = (32+30+31+34+35+40+28+23+26+27+33+37+36+31+25+27+31+25)/18 = 551/18 = 30.6
Sample standard deviation = sqrt(\sumXi-mean)^2(n-1))

X Xi-mean (Xi-mean)^2
32 1.388888889 1.929012346
30 -0.611111111 0.37345679
31 0.388888889 0.151234568
34 3.388888889 11.4845679
35 4.388888889 19.26234568
40 9.388888889 88.15123457
28 -2.611111111 6.817901235
23 -7.611111111 57.92901235
26 -4.611111111 21.26234568
27 -3.611111111 13.04012346
33 2.388888889 5.706790123
37 6.388888889 40.81790123
36 5.388888889 29.04012346
31 0.388888889 0.151234568
25 -5.611111111 31.4845679
27 -3.611111111 13.04012346
31 0.388888889 0.151234568
25 -5.611111111 31.4845679
Sum(Xi-mean)^2 372.2777778


Standard deviation =sqrt(372.2778/17) = 4.68
Here we will use a t-test as sample size is small and the population standard deviation is not known. So test stat can be calculated as
Test stat = (Xbar - \mu )/S/sqrt(n)= (30.6-33)/4.68/sqrt(18) = -2.17
So the degree of freedom df = sample size -1 = 18-1 = 17 and this test is left tailed test
From t table, we found a p-value = 0.0222
At alpha = 0.01, we are failed to reject the null hypothesis as the p-value is greater than alpha value, so we don't have significant evidence to support the claim that the mean class size for full-time faculty is fewer than 33.

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