In what follows use any of the following tests: Regression, multiple regression, one-sided t-test, or two-sided t-test. All conclusions should be based on 5% P-value threshold.
Choose the best fitting answer.
Open Brains data. SETUP: Since females are on average smaller than males, some people believe that female brains should be smaller as well (smaller volume). Given the data, your job is to perform the appropriate statistical test or procedure and help them decide.
5. What test did you perform?
6. What is the P-value?
7. What is the Statistical interpretation?
8. What is the conclusion?
SEX: Sex (1=Male 2=Female) | TOTVOL: Total Brain Volume (cm3) |
1 | 1079 |
1 | 1104 |
1 | 1439 |
1 | 1029 |
1 | 1160 |
1 | 1173 |
1 | 1067 |
1 | 1347 |
1 | 1100 |
1 | 1204 |
2 | 1005 |
2 | 1035 |
2 | 1281 |
2 | 1051 |
2 | 1034 |
2 | 963 |
2 | 1027 |
2 | 1272 |
2 | 1079 |
2 | 1070 |
5)
c. One-sided t-test (since we are testing if female has smaller brain size)
6)
from excel :data-data analysis: T -test
t-Test: Two-Sample Assuming Equal Variances | ||
male | female | |
Mean | 1170.2 | 1081.7 |
Variance | 16997.96 | 11604.68 |
Observations | 10 | 10 |
Pooled Variance | 14301.32 | |
Hypothesized Mean Difference | 0 | |
df | 18 | |
t Stat | 1.65478 | |
P(T<=t) one-tail | 0.05765 | |
t Critical one-tail | 1.734064 | |
P(T<=t) two-tail | 0.1153 | |
t Critical two-tail | 2.100922 |
b. 0.057956077
7)
c. Since P-value is too large we cannot conclude that female brain is smaller in volume.
8)
a. Test is inconclusive; thus nothing can be concluded.
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