Autism may be marked by different patterns of brain growth during early life. Researchers measured brain volume (in milliliters, using an MRI) in 28 boys who were later diagnosed with autism. Brain volume is also available for 14 boys who did not develop autism; these 14 boys serve as the control group. The sample statistics are presented for both groups in the table below. Assume that the population variances are equal. Use a sigificance level of 0.05 to test for a difference between the autism and control groups.
Groups | Sample size | Sample mean | Sample SD |
Autism (group 1) |
n1 = 28 | y1 = 1213.53 | s1 = 87.94 |
Control (group 2) |
n2 = 14 | y2 = 1093.95 | s2 = 69.38 |
3. The standard error of the estimated difference between the autism and control groups is (give answer to 4 places after decimal)
4. The value of the test statistic is (give the answer to 4 places after decimal):
5. The P-value is approximately:
6. According to the P-value method, what decision would you
make?
Because P-value < α, I reject H0.
Because P-value > α, I reject H0.
Because P-value < α, I fail to reject H0.
Because P-value > α, I fail to reject H0.
7. If you incorrectly reject the Null hypothesis, what type of
error did you make?
None. If I correctly followed the rejection rule I would not make
an error.
Type-I error
Type-II error
8. The 90% confidence interval for the true difference between brain volumes is (give answers to two places after decimal):
lower bound: upper bound:
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