In: Statistics and Probability
Listed in the data table are IQ scores for a random sample of subjects with medium lead levels in their blood. Also listed are statistics from a study done of IQ scores for a random sample of subjects with high lead levels. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Use a 0.10 significance level for both parts.
Medium lead level
72
84
92
85
83
97
83
92
97
111
91
High lead level
n2= 11
x2= 88.202
s2= 9.977
Solution :
Null Hyp: The mean IQ scores for medium lead level is same as high lead level
Alt Hyp: The mean IQ scores for medium lead level is greater than high lead level
Sample statistics
Medium lead level: sample mean x1 = 89.727 ; sample stdev s1 = 10.149; sample size n1 = 11
After : sample mean x2 = 88.202 ; sample stdev s2 = 9.977 ; sample size n2 = 11
Std Error SE = sqrt[(s12/n1) + (s22/n2)]
= sqrt[(10.1492/11) + (9.9772/11)] = 4.291
Test stat t = [ (x1 - x2) ] / SE = [ (89.727 - 88.202) ] / 4.291 = 0.36
Degrees of Freedom DF = n1 +n2 - 2 = 20
p value for t = 0.36 and df = 20 is 0.361
Since p value > 0.10 we fail to reject the Null Hyp and conclude that there is not enough evidence to support the claim that subjects with medium lead levels have higher IQ scores
Ans) C
b) Critical value for df=20 and 0.10 sig level = +1.725
Std error = 4.291
Margin of error = critical value * std error = 1.725 * 4.236 = 7.402
Confidence interval = (x1 - x2) + Margin of error = (89.727 - 88.202) + 7.402 = (-5.877 , 8.927 )
Yes because the interval contains 0
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