We are interested in if males and females perceive attractiveness differently. They are shown the same faces and rate each face on an attractiveness scale from 1-10. Treat Males as group 1 and females as group 2. The mean scores of these two groups are below.
Males |
Females |
8 |
4 |
5 |
5 |
6 |
7 |
7 |
7 |
8 |
8 |
10 |
7 |
6 |
5 |
10 |
8 |
9 |
6 |
10 |
7 |
Restate your null and research hypotheses
H0: x ̅males = x ̅females H1: x ̅males ≠ x |
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H0: x ̅males ≠ x ̅females H1: x ̅males = x |
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H0: x ̅males < x ̅females H1: x ̅males > x |
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H0: x ̅males ≠ x ̅females H1: x ̅males > x |
What is the pooled variance?
2.31 |
||
2.63 |
||
1.84 |
||
-2.63 |
What is the estimated standard error of the difference?
0.73 |
||
0.95 |
||
2.63 |
||
1.75 |
What is your test statistic?
2.31 |
||
1.69 |
||
2.05 |
||
-2.05 |
Do you reject or fail to reject your null hypothesis?
Fail to reject, the test statistic does fall within the rejection region |
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Fail to reject, the test statistic does not fall within the rejection region |
||
Reject the null, the test statistic falls within the rejection region |
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Reject the null, the test statistic does not fall within the rejection region |
The excel output for this problem is:
Hence,
Hypotheses:
H0: x ̅males = x ̅females
H1: x ̅males ≠ x
Option A is correct.
Standard error = 2.63
Option C is correct.
Test statistic = 2.05
Option C is correct.
Fail to reject, the test statistic does not fall within the rejection region. Option B is correct.
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