In: Statistics and Probability
5. (7) To see if female math majors study harder than males, we collected a random sample of study hours per day from math majors. Assume all variables have normal distributions, answer the questions based on the provided outputs using correct statistical technique.
Paired Samples Test
Paired Differences mean |
Std. Dev. |
Std. Error |
t |
Sig. (2-tailed) |
||
female– male |
.4 |
.750 |
.250 |
1.98 |
.058 |
Group Statistics |
|||||
gender |
N |
Mean |
Std. Deviation |
Std. Error Mean |
|
hours |
male |
22 |
1.0985 |
.416654 |
.088831 |
female |
24 |
2.4996 |
.334813 |
.068343 |
Independent Samples Test
Levene's Test for Equality of Variances |
t-test for Equality of Means |
||||
F |
Sig. |
t |
Sig. (2-tailed) |
||
Equal variances assumed |
.043 |
.2373 |
-1.613 |
0.0924 |
|
Eequal variances not assumed |
-1.721 |
0.0881 |
a). It is an independent samples t-test
Let the subscript 1 denote males and 2 denotes females. Then
b).
c). The test statistic is :
Where is the pooled variance.
hours |
male |
22 |
1.0985 |
.416654 |
0.08831 |
female |
24 |
2.4996 |
.334813 |
.068343 |
We shall take the summary statistic from the tables
c). The p-value of the test is p=0,0000.
d). Since the p-value <0.05, we reject the null hypothesis.
e). It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that population the mean study hours of females is more than the male study hours.