In: Statistics and Probability
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 | 13.2 | 1.6 |
Formula | 18 | 12.4 | 1.7 |
(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?
Fail to reject the null hypothesis. There is 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 not significant evidence that the mean hemoglobin level is higher among breast-fed babies.
Reject the null hypothesis. There is not significant evidence that the mean hemoglobin level is higher among breast-fed babies.
(b)
Give a 95% confidence interval for the mean difference in hemoglobin level between the two populations of infants. (Round your answers to three decimal places.)
( _______, _______ )
(c)
State the assumptions that your procedures in (a) and (b) require in order to be valid.
We need sample sizes greater than 40.
We need two independent SRSs from normal populations.
We need two dependent SRSs from normal populations.
We need the data to be from a skewed distribution.