1. In the study examining socioeconomic differences in birth weight, the mean birth weight for babies born to n1=32 mothers with a college education was 2998 grams with a standard deviation of 230 grams, while the mean birth weight for babies born to n2=41 mothers with no more than a high school education was 2765 grams with a standard deviation of 332 grams. Which of the following states the appropriate hypotheses for testing if the mean birth weight between these two groups of mothers in different, where μ1=the mean for mothers with a college education and μ2=the mean mothers with no more than high school education
a. H0:μ1 = μ2 vs. Ha:μ1 < μ2
b. H0:μ1 = μ2 vs. Ha:μ1≠ μ2
c. H0:μ1 = μ2 vs. Ha:μ1 > μ2
d. H0:μ1 = μ2 vs. Ha:μ1 > μ
2. continuing from the last question, which of the following is the 95% confidence interval for the difference between the mean birth weight of these two groups of mothers?
For calculating the standard error, use s.e.=sqrt (s12 + s12) + (n1 + n2), recalling that s2 is the sample varinace, or standard deviation squared.
a. (-33, 279.0)
b. (-1.99, 1.99)
c. (98.78, 367.21)
d. (0.49, 257.0)
1)
Null hypothesis Ho : u1 = u2
Alternate hypothesis Ha : u1 not equal to u2
2)
As the population standard deviation is unknown and we are given with the sample s.d as the best estimate we will use t distribution to estimate the interval
n1 = 32
n2 = 41
Degrees of freedom is = smaller of n1-1, n2-1 = 31
For 31 dof and 95% confidence level, critical value t from.t distribution is = 2.04
Margin of error (MOE) = t*standard error
t = 2.04
S.d = √{(s1^2/n1)+(s2^2/n2}
S1 = 230
S2 = 332
After substitution
MOE = 134.415958275
Interval is given by
(u1-u2)-MOE, (u1-u2)+MOE
u1 = 2998
u2 = 2765
(98.58, 367.42)
Option C is closest
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