An adviser is testing out a new online learning module for a placement test. They wish to test the claim that on average the new online learning module increased placement scores at a significance level of α = 0.05. For the context of this problem, μD=μnew–μold where the first data set represents the new test scores and the second data set represents old test scores. Assume the population is normally distributed. H0: μD = 0 H1: μD < 0 You obtain the following paired sample of 19 students that took the placement test before and after the learning module:
An adviser is testing out a new online learning module for a placement test. They wish to test the claim that on average the new online learning module increased placement scores at a significance level of α = 0.05. For the context of this problem, μD=μnew–μold where the first data set represents the new test scores and the second data set represents old test scores. Assume the population is normally distributed.
H0: μD = 0
H1: μD < 0
You obtain the following paired sample of 19 students that took the placement test before and after the learning module:
Find the p value 4 decimal places
New LM |
Old LM |
---|---|
57.1 |
55.8 |
58.3 |
51.7 |
83.6 |
76.6 |
50.5 |
47.5 |
51.5 |
48.6 |
20.6 |
15.5 |
35.2 |
29.9 |
46.7 |
54 |
23.5 |
21 |
48.8 |
58.5 |
53.1 |
42.6 |
76.6 |
61.2 |
29.6 |
26.3 |
14.5 |
11.4 |
43.7 |
56.3 |
57 |
46.1 |
66.1 |
72.9 |
38.1 |
43.2 |
44.4 |
51.1 |
New | old | d= new-old | (d-dbar)^2 |
57.1 58.3 83.6 50.5 51.5 20.6 35.2 46.7 23.5 48.8 53.1 76.6 29.6 14.5 43.7 57 66.1 38.1 44.4 |
55.8 51.7 76.6 47.5 48.6 15.5 29.9 54 21 58.5 42.6 61.2 26.3 11.4 56.3 46.1 72.9 43.2 51.1 |
1.3 M: 1.51 |
0.04 S: 1038.66 |
1) null and alternate hypothesis
H0:d=0
H1:d<0
2) level of significance = 0.05
3 ) test statistic
Mean: 1.51
μ = 0
S2 = SS⁄df = 1038.66/(19-1) =
57.7
S2M = S2/N =
57.7/19 = 3.04
SM = √S2M =
√3.04 = 1.74
T-value Calculation
t = (M - μ)/SM =
(1.51 - 0)/1.74 = 0.87
4) p value = 0.1987
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