Smoking Mothers The birth weights of 35 babies whose mothers did not smoke and 22 babies whose mothers smoked were compared; weights were in grams. Test the hypothesis that the population mean birth weight is larger for mothers who do not smoke. Assume that the sample is random and the distributions are Normal, and use a significance level of 0.05. a. Explain why this data set is not paired. b. Which sample mean is larger, and how do you know? c. Test the hypothesis that the population mean birth weight is larger for mothers who do not smoke.
Smoking Mothers The birth weights of 35 babies whose mothers did not smoke and 22 babies whose mothers smoked were compared; weights were in grams. Test the hypothesis that the population mean birth weight is larger for mothers who do not smoke. Assume that the sample is random and the distributions are Normal, and use a significance level of 0.05. a. Explain why this data set is not paired. b. Which sample mean is larger, and how do you know? c. Test the hypothesis that the population mean birth weight is larger for mothers who do not smoke.
Solution Summary: The author explains the reasons for the data set not being paired. The two samples were taken from two independent populations.
Smoking Mothers The birth weights of 35 babies whose mothers did not smoke and 22 babies whose mothers smoked were compared; weights were in grams.
Test the hypothesis that the population mean birth weight is larger for mothers who do not smoke. Assume that the sample is random and the distributions are Normal, and use a significance level of 0.05.
a. Explain why this data set is not paired.
b. Which sample mean is larger, and how do you know?
c. Test the hypothesis that the population mean birth weight is larger for mothers who do not
smoke.
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
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