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Old 07-15-2012
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Stats p value for testing the hypothesis of equal means

Measurements on babies of mothers who used marijuana during pregnancy were compared to measurements on babies of mothers who did not. The sample mean head circumference was larger in the group who were not exposed to marijuana and the 95% confidence interval for the difference in mean circumference between the 2 groups was .61 to 1.19 cm. What can be said about the (2-sided) p value for testing the hypothesis of equal means?

(a) The p value is greater than .05
(b) The p value is equal to .05
(c) The p value is less than .05
(d) The p value is 0
(e) Cannot be determined from the information given.
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Old 07-15-2012
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(a) The p value is greater than .05

because the test is not significant... cos the CI includes the value of 1
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Old 07-16-2012
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@mbbs2010

I think what you are implying applies for relative risk.

As far as I remember, when the case involved RR, CI should not include 1
& when the case involved mean difference, then CI should not include 0
for the studies to have any statistical significance.

Correct me if I'm mistaken.

Thanks for posting the question.
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Old 07-16-2012
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Quote:
Originally Posted by Novobiocin View Post
Measurements on babies of mothers who used marijuana during pregnancy were compared to measurements on babies of mothers who did not. The sample mean head circumference was larger in the group who were not exposed to marijuana and the 95% confidence interval for the difference in mean circumference between the 2 groups was .61 to 1.19 cm. What can be said about the (2-sided) p value for testing the hypothesis of equal means?

(a) The p value is greater than .05
(b) The p value is equal to .05
(c) The p value is less than .05
(d) The p value is 0
(e) Cannot be determined from the information given.
Why not e? Please post answer novo
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