NOTE: The numerical values in this problem have been modified for testing purposes. According to the Centers for Disease Control and Prevention, obesity rates among children have increased dramatically over the past three decades, from a low of about 5% to 18% as of 2010. A study examined the effect of family-based food-counseling sessions provided by trained professionals. The study randomly assigned obese children aged 9 to 12 years to either the counseling intervention or a control group not receiving any food counseling. The children’s weight changes (in pounds, lb) after 15 weeks for both conditions are displayed in the tables below:
Compute the sample means and standard deviations: Intervention Group Mean =....... (+0.001) and SD =........ (+0.001) Control Group Mean =........... (+0.001) and SD =........... (+0.001) Compute the standard error of the mean =......... (+0.001) Compute the t-statistic: =......... (+0.001) This t-statistic has df =............ (+0.1) (Use Software) The p-value of this t-statistic is = ............(Use Software) (b) Is there strong evidence that obese children receiving food counseling gain less weight over a 15-week period? We test:
Conclusion:
|
data
result
t-Test: Two-Sample Assuming Equal Variances | ||
Intervention | control | |
Mean | -2.409433962 | 3.47826087 |
Variance | 27.27894775 | 18.36086957 |
Observations | 53 | 23 |
Pooled Variance | 24.62762721 | |
Hypothesized Mean Difference | 0 | |
df | 74 | |
t Stat | -4.751481722 | |
P(T<=t) one-tail | 4.83802E-06 | |
t Critical one-tail | 1.665706893 | |
P(T<=t) two-tail | 9.67603E-06 | |
t Critical two-tail | 1.992543495 |
Intervention | control | |
Mean | -2.40943396 | 3.478261 |
sd | 5.22292521 | 4.284959 |
standard error | 1.239128166 | |
t | -4.75148172 | |
p-value | 4.83802E-06 |
hypothesis
We test:
uI < uC |
p-value for one-tailed test = 4.838*10^(-6) << 0.05
hence we reject the null hypothesis
conclusion
Yes, there is strong evidence the weight gain was less in the intervention group.
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