(a) Test the hypothesis that the median HDL. Cholesterol levels in aluit population of Ciry A and City B we the same. Uhe the following observations and we the Mins-Whitsery teit at 0.05 level of significance. \begin{tabular}{|l|l|l|l|l|l|l|l|} \hline City A & 42 & 20 & 51 & 39 & 57 & 60 & 27 \\ \hline City B & 30 & 42 & 25 & 29 & 35 & & \\ \hline \end{tabular} 3 (Cenent)
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- Alternative Hypothesis (\(H_1\)): The median HDL cholesterol levels in the adult populations of City A and City B are different. Show moreā¦
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Here is the sample data set you will be using for all parts of this project: Cholesterol Levels for 30 Random People: 193, 208, 240, 215, 242, 253, 214, 205, 206, 203, 210, 188, 215, 199, 193, 288, 220, 223, 200, 240, 196, 206, 201, 210, 208, 164, 194, 199, 204, 199 11. Test the hypothesis that the population's mean is different from the sample's median value. Use α = 0.05. (20 points) Null hypothesis (H0): The population's mean is equal to the sample's median value. Alternative hypothesis (H1): The population's mean is different from the sample's median value. Type of Test: Two-tailed test Critical value: ________ or P-value: ________ Test statistic: ________ Conclusion: Do you reject the null hypothesis (yes or no)? _________ (Show all work.) If someone were to ask what the conclusion means in this particular study, what would you say?
Sri K.
A researcher collected sample data for 15 women ages 18 to 24 . The sample had a mean serum cholesterol level (measured in mg/100 mL) of 188.3 , with a standard deviation of 6.5 . Assuming that serum cholesterol levels for women ages 18 to 24 are normally distributed, find a 90% confidence interval for the mean serum cholesterol level of all women in this age group. Then complete the table below. Carry your intermediate computations to at least three decimal places. Round your answers to one decimal place. (If necessary, consult a list of formulas.) What is the lower limit of the confidence interval? What is the upper limit of the confidence interval?
Rosina D.
1) The distribution of serum cholesterol levels for all 20ā74 year old males in the U.S. has population mean μ =211 mg/ 100 ml and standard deviation Ļ =46 mg/100 ml. The mean serum cholesterol level for the subpopulation of 20ā24 year old males is 180 mg/100ml. Use a oneāsided test, with α =0.05 level of significance, and study sample size n =25. use the same mean (μ) and standard deviation (Ļ) values for the serum cholesterol distribution of the population of 20ā74 year old men. If the true population mean is as large as 211 mg/100 ml and you want to risk only a 5% chance of failing to reject the null hypothesis (with β=0.05 and power =0.95), what sample size do you need in order to test the null hypothesis that Hā: μ ⤠180 mg/100 ml, at an α =0.01 level of significance?
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