• A random sample of 12 pills of a generic version of an over-the-counter anti- inflammatory medicine was collected and mean dosage was 204.3 mg with a standard deviation of 1.25 mg. • It is reasonable to believe that the population distribution of dosage for this medication is approximately normally distributed. Which of the following gives a 95% confidence interval for the true mean dosage per pill for this generic medication? O 204.3 ±1.960 (125), df = 12 204.3±1.960 (125), df = 11 (125), df = 12 O. 204.3 ±t* O 1.25 204.3 ±t* (15), df = 11 12 The results cannot be trusted because the sample size is too small. Page 6 of 19
• A random sample of 12 pills of a generic version of an over-the-counter anti- inflammatory medicine was collected and mean dosage was 204.3 mg with a standard deviation of 1.25 mg. • It is reasonable to believe that the population distribution of dosage for this medication is approximately normally distributed. Which of the following gives a 95% confidence interval for the true mean dosage per pill for this generic medication? O 204.3 ±1.960 (125), df = 12 204.3±1.960 (125), df = 11 (125), df = 12 O. 204.3 ±t* O 1.25 204.3 ±t* (15), df = 11 12 The results cannot be trusted because the sample size is too small. Page 6 of 19
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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• A random sample of 12 pills of a generic version of an over-the-counter anti-
inflammatory medicine was collected and mean dosage was 204.3 mg with a
standard deviation of 1.25 mg.
It is reasonable to believe that the population distribution of dosage for this
medication is approximately normally distributed.
Which of the following gives a 95% confidence interval for the true mean dosage per
pill for this generic medication?
O
204.3 ±1.96015, df = 12
204.3 ±1.96015, df = 11
1.25
204.3 ±t* (15), df = 12
√12
O
204.3 ±t* (125), df = 11
The results cannot be trusted because the sample size is too small.
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