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Given the following data: From Chart Total caloric intake (Kcal/day): Controls = Mean 1689.6 Standard deviation 560.4 sample size of control = 1846 Cases =
Given the following data:
From Chart Total caloric intake (Kcal/day):
Controls = Mean 1689.6 Standard deviation 560.4 sample size of control = 1846
Cases = Mean 2026.3 Standard deviation 534.0 sample size of cases = 923
Test statistic for the cases is = to 1.4906
Which gives a p value between 1.28 and 1.65
Greater than alpha of .05 meaning Fail to reject the null
Hypothesis:
Null hypothesis = Caloric intake = 2000 Kcal/day
Alternative Hypothesis = Caloric intake DOES NOT equal 2000 Kcal/day
This is a two-sided test
All assumptions are met
- Calculate the 95% CI's of total caloric intake separately for the cases and controls. What can be concluded about the statistical similarities of the two population means?
- Calculate the 95% CI of the difference of total caloric intake means between cases and controls. Provide an interpretation of the results. What can be concluded from this?
- Use an appropriate test to determine whether there is a significant difference in total caloric intake between cases and controls. Be sure to clearly state your hypotheses, test statistic, and appropriate conclusions.
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