Solution:
Given in the question
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:
= 33
Alternative hypothesis Ha:
< 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(Xi-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 -
)/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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