A study of iron deficiency among infants compared samples of infants following different feeding regimens. One group contained breast-fed infants, while the infants in another group were fed a standard baby formula without any iron supplements. Here are summary results on blood hemoglobin levels at 12 months of age. Group n x s Breast-fed 22 13.1 1.7 Formula 20 12.5 1.8
(a) Is there significant evidence that the mean hemoglobin level is higher among breast-fed babies? State H0 and Ha.
H0: μbreast-fed = μformula; Ha: μbreast-fed > μformula
H0: μbreast-fed < μformula; Ha: μbreast-fed = μformula
H0: μbreast-fed > μformula; Ha: μbreast-fed = μformula
H0: μbreast-fed ≠ μformula; Ha: μbreast-fed < μformula
Carry out a t test. Give the P-value. (Use α = 0.01. Use μbreast-fed − μformula. Round your value for t to three decimal places, and round your P-value to four decimal places.)
t =
P-value =
What is your conclusion?
Reject the null hypothesis. There is not significant evidence that the mean hemoglobin level is higher among breast-fed babies.
Reject the null hypothesis. There is significant evidence that the mean hemoglobin level is higher among breast-fed babies.
Fail to reject the null hypothesis. There is significant evidence that the mean hemoglobin level is higher among breast-fed babies.
Fail to reject the null hypothesis. There is not significant evidence that the mean hemoglobin level is higher among breast-fed babies.
Given that,
For Breast-fed :
For Formula :
The null and alternative hypotheses are,
H0: μbreast-fed = μformula
Ha: μbreast-fed > μformula
Using TI-84 calculator we get,
Test statistic = t = 1.108
p-value = 0.1374
since, p-value is greater than α = 0.01
=> Fail to reject the null hypothesis. There is not significant evidence that the mean hemoglobin level is higher among breast-fed babies.
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