6.4.10. In a study of factors thought to be responsible for the adverse effects of smoking on human reproduction, cadmium level determinations (nanograms per gram) were made on placenta tissue of a sample of 14 mothers who were smokers and an independent random sample of 18 nonsmoking mothers. The results were as follows: Nonsmokers: 10.0.8.4. 12.8, 25.0, 11.8.9.8. 12.5, 15.4.23.5, 9.4. 25.1, 19.5. 25.5.9.8. 7.5, 11.8, 12.2, 15.0 Smokers: 30.0, 30.1, 15.0, 24.1, 30.5, 17.8, 16.8, 14.8, 13.4, 28.5, 17.5, 14.4, 12.5, 20.4 Does it appear likely that the mean cadmium level is higher among smokers than nonsmokers? Why do you reach this conclusion?

6.4.10. In a study of factors thought to be responsible for the adverse effects of smoking on human reproduction, cadmium level determinations (nanograms per gram) were made on placenta tissue of a sample of 14 mothers who were smokers and an independent random sample of 18 nonsmoking mothers. The results were as follows: Nonsmokers: 10.0.8.4. 12.8, 25.0, 11.8.9.8. 12.5, 15.4.23.5, 9.4. 25.1, 19.5. 25.5.9.8. 7.5, 11.8, 12.2, 15.0 Smokers: 30.0, 30.1, 15.0, 24.1, 30.5, 17.8, 16.8, 14.8, 13.4, 28.5, 17.5, 14.4, 12.5, 20.4 Does it appear likely that the mean cadmium level is higher among smokers than nonsmokers? Why do you reach this conclusion?

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Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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6.4.10. In a study of factors thought to be responsible for the adverse effects of smoking on human reproduction, cadmium level determinations (nanograms per gram) were made on placenta tissue of a sample of 14 mothers who were smokers and an independent random sample of 18 nonsmoking mothers. The results were as follows: Nonsmokers: 10.0.8.4. 12.8, 25.0, 11.8.9.8. 12.5, 15.4.23.5, 9.4. 25.1, 19.5. 25.5.9.8. 7.5, 11.8, 12.2, 15.0 Smokers: 30.0, 30.1, 15.0, 24.1, 30.5, 17.8, 16.8, 14.8, 13.4, 28.5, 17.5, 14.4, 12.5, 20.4 Does it appear likely that the mean cadmium level is higher among smokers than nonsmokers? Why do you reach this conclusion?
In a study that compared average time taken by a men and women to do a certain job, a random sample of 13 men and 13 women at a large industrial complex was taken and the following results were obtained. Men Women ?̅ = 54 ??????? ?̅ = 42 ??????? ? = 6 ??????? ? = 8 ??????? Can we conclude that at 0.01 level that women do the job on average 10 minutes earlier than men? Assume the populations to be normally distributed with equal variances.
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A travel agency is interested in finding out if different age groups frequent different Spring Break destinations, in order to better target the appropriate audiences. A random sample of college Spring Break vacationers produces the results given in the table below. Is there enough evidence at the 0.010.01 level of significance to show that there is a relationship between age (by college classification) and destination? Observed Sample of College Students Beach Mountains City Home Total Freshman 13 6 9 10 38 Sophomore 23 6 11 8 48 Junior 21 11 13 19 64 Senior 26 25 10 16 77 Total 83 48 43 53 227 Step 1 of 4: Calculate the expected value for the number of sophomores going to the mountains during Spring Break. Round your answer to six decimal places.Step 2 or 4: State the null hypothesis.Step 3 of 4: Compute the value of the test statistic. Round your answer to three decimal places, if necessary. (Note: If calculating by hand, be sure to use at least six…
Dr. Romanoff reported the following in a journal: “F (5, 106) = 10.09, p = .04.” Should Dr. Romanoff state that there are significant differences among the variable means at a .05 alpha level?
A researcher randomly assigns college freshmen to either of two experimental conditions. Because both groups consist of college freshmen, someone claims that it is appropriate to use a t test for the two related samples. Comments?
A travel agency is interested in finding out if different age groups frequent different Spring Break destinations, in order to better target the appropriate audiences. A random sample of college Spring Break vacationers produces the results given in the table below. Is there enough evidence at the 0.025 level of significance to show that there is a relationship between age (by college classification) and destination? Observed Sample of College Students Beach Mountains City Home Total Freshman 28 17 20 22 87 Sophomore 24 14 15 3 56 Junior 24 15 17 15 71 Senior 10 12 3 12 37 Total 86 58 55 52 251 Step 3 of 4: Compute the value of the test statistic. Round your answer to three decimal places, if necessary. (Note: If calculating by hand, be sure to use at least six decimal places in numbers for all intermediate calculations to ensure accuracy of the result.) Step 4 of 4: Draw a conclusion and interpret the decision
A random sample of 50 COS students contained 13 that owned an iPhone. A random sample of 200 Fresno State students contained 70 that owned an iPhone. Use these data to test the claim that the proportion of COS students who own an iPhone is the same as the proportion of Fresno State students who own an iPhone at the 0.05 level of significance.