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