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 13.1 1.6
Formula 19 12.6 1.7
Carry out a t test. Give the P-value. (Use ? = 0.01. Use ?breast-fed ? ?formula. Round your value for t to three decimal places, and round your P-value to four decimal places.)
t=____
pvalue=_____
(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.)
( , )
Let sample 1 is sample of breast fed and sample 2 is sample of formula.
The hypothesis are
H0: - = 0 v/s H1: - 0
The test statistic is
Where,
= 1.65
Hence,
= 0.968
df = n1 + n2 - 2= 22 + 19 - 2 = 39
p value = 2* p ( t < 0.968 ) = 2 * 0.1695 = 0.3390
Here p value > ( 0.01 )
Hence we failed to reject null hypothesis.
Conclusion : There is no difference in mean hemoglobin level between the two populations of infants.
b) The 95% confidence interval is given by
{ ( ) - E , ( ) + E }
Where,
c = 0.95 ,
df = n1 + n2 - 2= 22 + 19 - 2 = 39
tc =
= 1.045
Hence the confidence interval is
{ ( 13.1 - 12.6 ) - 1.045 , ( 13.1 - 12.6 ) + 1.045 }
( -0.545 , 1.545 )
Here confidence interval includes 0.
Hence we conclude that there is no difference in mean hemoglobin level between the two populations of infants.