In: Math
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 | 23 | 13.3 | 1.7 |
Formula | 18 | 12.6 | 1.8 |
(a)
Is there significant evidence that the mean hemoglobin level is higher among breast-fed babies? State H0 and Ha.H0:
____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 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.
____ Fail to reject the null hypothesis. There is not 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.
(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.)
________, _________ Answers
__C)
State the assumptions that your procedures in (a) and (b) require in order to be valid.
____We need two dependent SRSs from normal populations.
____We need sample sizes greater than 40.
____ We need two independent SRSs from normal populations.
_____We need the data to be from a skewed distribution.
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 |
23 |
13.3 |
1.7 |
Formula |
18 |
12.6 |
1.8 |
(a)
Is there significant evidence that the mean hemoglobin level is higher among breast-fed babies? State H0 and Ha.H0:
____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 |
= |
1.275 |
P-value |
= |
0.1049 |
What is your conclusion?
____ Fail to 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.)
( -0.410, 1.810 )
__C)
State the assumptions that your procedures in (a) and (b) require in order to be valid.
____ We need two independent SRSs from normal populations.
Pooled-Variance t Test for the Difference Between Two Means |
|
(assumes equal population variances) |
|
Data |
|
Hypothesized Difference |
0 |
Level of Significance |
0.01 |
Population 1 Sample |
|
Sample Size |
23 |
Sample Mean |
13.3 |
Sample Standard Deviation |
1.7 |
Population 2 Sample |
|
Sample Size |
18 |
Sample Mean |
12.6 |
Sample Standard Deviation |
1.8 |
Intermediate Calculations |
|
Population 1 Sample Degrees of Freedom |
22 |
Population 2 Sample Degrees of Freedom |
17 |
Total Degrees of Freedom |
39 |
Pooled Variance |
3.0426 |
Standard Error |
0.5489 |
Difference in Sample Means |
0.7000 |
t Test Statistic |
1.2752 |
Upper-Tail Test |
|
Upper Critical Value |
2.4258 |
p-Value |
0.1049 |
Do not reject the null hypothesis |
Confidence Interval Estimate |
|
for the Difference Between Two Means |
|
Data |
|
Confidence Level |
95% |
Intermediate Calculations |
|
Degrees of Freedom |
39 |
t Value |
2.0227 |
Interval Half Width |
1.1103 |
Confidence Interval |
|
Interval Lower Limit |
-0.4103 |
Interval Upper Limit |
1.8103 |