In: Statistics and Probability
Use it and Excel to answer this question. It contains Assignment 1 marks for two past sections of this course
Treat it as a random sample. Perform a hypothesis test to determine if the two sample means are equal. Use α = 0.10.
Section A | Section B |
15 | 16 |
26 | 52 |
52 | 55 |
53 | 57.5 |
54 | 58 |
56.5 | 60 |
61 | 61 |
61.5 | 70 |
63 | 70 |
66 | 71 |
66 | 72 |
66.5 | 73 |
69 | 74.5 |
71 | 75 |
77 | 75.5 |
77 | 76 |
78 | 77 |
79 | 81 |
81 | 85 |
86 | 85.5 |
87 | 86 |
90 | 88 |
90 | 88.5 |
91 | 91 |
91 | 93 |
94 | |
95 | |
96 | |
98 | |
98 | |
99.5 | |
100 |
Ho : µ1 - µ2 = 0
Ha : µ1-µ2 ╪ 0
Level of Significance , α =
0.1
Sample #1 ----> sample 1
mean of sample 1, x̅1= 68.30
standard deviation of sample 1, s1 =
19.13
size of sample 1, n1= 25
Sample #2 ----> sample 2
mean of sample 2, x̅2= 77.25
standard deviation of sample 2, s2 =
18.08
size of sample 2, n2= 32
difference in sample means = x̅1-x̅2 =
68.3000 - 77.3 =
-8.95
pooled std dev , Sp= √([(n1 - 1)s1² + (n2 -
1)s2²]/(n1+n2-2)) = N/A
std error , SE = Sp*√(1/n1+1/n2) =
4.9846
t-statistic = ((x̅1-x̅2)-µd)/SE = (
-8.9500 - 0 ) /
4.98 = - 1.796
Degree of freedom, DF= n1+n2-2 =
50
t-critical value , t* =
1.6759 (excel formula =t.inv(α/2,df)
Decision: | t-stat | < | critical value |, so,
Reject Ho
conclusion : there is not enough evidence to conclude
the two sample means are equal