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DIA [1.3K]
3 years ago
14

Child Health and Development Studies (CHDS) has been collecting data about expectant mothers in Oakland, CA since 1959. One of t

he measurements taken by CHDS is the weight increase (in pounds) for expectant mothers in the second trimester. In a fictitious study, suppose that CHDS finds the average weight increase in the second trimester is 14 pounds. Suppose also that, in 2015, a random sample of 40 expectant mothers have mean weight increase of 16 pounds in the second trimester, with a standard deviation of 6 pounds. At the 5% significance level, we can conduct a one-sided T-test to see if the mean weight increase in 2015 is greater than 14 pounds. Statistical software tells us that the p-value = 0.021
Which of the following is the most appropriate conclusion?

a. There is a 2.1% chance that a random sample of 40 expectant mothers will have a mean weight increase of 16 pounds or greater if the mean second trimester weight gain for all expectant mothers is 14 pounds.
b. There is a 2.1% chance that mean second trimester weight gain for all expectant mothers is 14 pounds in 2015.
c. There is a 2.1% chance that mean second trimester weight gain for all expectant mothers is 16 pounds in 2015.
d. There is 2.1% chance that the population of expectant mothers will have a mean weight increase of 16 pounds or greater in 2015 if the mean second trimester weight gain for all expectant mothers was 14 pounds in 1959.
Mathematics
2 answers:
Alborosie3 years ago
7 0

Answer:

Option A - There is a 2.1% chance that a random sample of 40 expectant mothers will have a mean weight increase of 16 pounds or greater if the mean second trimester weight gain for all expectant mothers is 14 pounds.

Lunna [17]3 years ago
5 0

Answer:b

Step-by-step explanation:

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frez [133]

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A. -1/5

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Step-by-step explanation:

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Step-by-step explanation:

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4 0
3 years ago
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Am I correct?? If not please correct me
pickupchik [31]
The answer would actually be A
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