Question

Weight gain during pregnancy. In 2004, the state of North Carolina released to the public a large data set containing information on births recorded in this state. This data set has been of interest to medical researchers who are studying the relationship between habits and practices of expectant mothers and the birth of their children. The following histograms show the distributions of weight gain during pregnancy by 862 younger moms (less than 35 years old) and 126 mature moms (35 years old and over) who have been randomly sampled from this large data set. The average weight gain of younger moms is 30.58 pounds, with a standard deviation of 14.79 pounds, and the average weight gain of mature moms is 29.02 pounds, with a standard deviation of 13.41 pounds. Do these data provide strong evidence that there is a significant difference between the two population means? Conduct a hypothesis test. Note: The degrees of freedom for this problem is df = 172.610605. Round all results to 4 decimal places. Remember not to round for intermediate calculations! 1. Which set of hypotheses should the researcher use? A. ?0: ?1−?2=0, ??: ?1−?2≠0 B. ?0: ?1−?2=0, ??: ?1−?2>0 C. ?0: ?1−?2=0, ??: ?1−?2≠0 D. ?0: ?1−?2=0, ??: ?1−?2<0 2. Calculate the test statistic. = 3. Calculate the p-value for this hypothesis test. p value = 4. Suppose that a researcher today decides to replicate this study. Using the information from the 2004 study, they calculate an effect size of 0.11. Next, they obtain a new sample of 124 younger moms and a new sample of 86 mature moms and, using their new sample data, conduct the same hypothesis tes . They calculate a p-value of 0.2785 and an effect size of 0.09. Does their new study confirm or conflict with the study from 2004? A. It confirms the 2004 study because the effect sizes are nearly the same. B. It confirms the 2004 study because the sample of moms from today is independent of the sample of moms from 2004. C. It contradicts the 2004 study because the effect sizes are not exactly the same. D. The researcher cannot make a comparison because the sample sizes are not the same. E. It contradicts the 2004 study because the p-value is larger.

Answer 1

x1    =	30.580	x2      =	29.020
s1    =	14.790	s2      =	13.410
n1    =	862	n2     =	126

1)

C. ?0: ?1−?2=0, ??: ?1−?2≠0

2)

standard error se=√(S21/n1+S22/n2)=			1.2965
test stat t =(x1-x2-Δo)/Se=		1.2032

3)

p value : =

0.2305

4)

C. It contradicts the 2004 study because the effect sizes are not exactly the same.