6.4.10 In a study of factors thought to be responsible for the adverse effects of smoking on human repro- duction, 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 repro- duction, 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?

Name: 6.4.10 In a study of factors thought to be responsible for the advers
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: 6.4.10 In a study of factors thought to be responsible for the adverse effects of smoking on human repro-duction, cadmium level determinations (nanograms per gram) were made on placenta tissue of asample of 14 mothers who were smokers and an indepen

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

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?
Based on a survey of a random sample of 900 adults in the United States, a journalist reports that A random sample of 100 movie goers was asked to state his or her gender and favorite soft drink available at the local movie theater. The results appear in the table below. Is there a relationship between gender and soft drink preference? Coke Diet Coke Sprite Male 23 11 12 Female 16 28 10 To analyze the results, which of the following tests is most appropriate? A)Chi-square test of independence B)Chi-square test of homogeneity C)Two sample t-test D)Matched pair t-test E)Chi-square goodness of fit
A sample of men and women who had passed their driver's test either the first time or the second time were surveyed, with the following results: Results of the driving testGender First time Second timeMen 126 211Women 135 178a) Do these data suggest that there is a relationship between gender and the passing of their driver’s test from which the present sample was drawn? Let alpha=.05
Interpret the following statement regarding the statistical findings of a research study. “61% (n = 36) of recipients of the low-carbohydrate diet and 23% (n = 14) of recipients of the low-fat diet completed the study and lost greater than 10% of their initial body weight (P < 0.001).” Number of participants who completed the study and lost greater than 10% of their body weight: P-value: Does this p-value indicate a statistically-significant difference in the average weight loss between the two groups:
An experiment is conducted to determine whether there is a differnce among the mean increases in growth produced by five strains (A, B, C, D and E) of growth hormones for plants. The experimental material consists of 20 cuttings of a shrub (all of equal weight), with four cuttings randomly assigned to each of the five different strains. The increases in weight for each cutting along with the sample mean and sample standard deviation of each group are given in the table below. A B C D E Plant 1 17 27 23 19 7 Plant 2 9 24 23 17 15 Plant 3 15 20 23 17 10 Plant 4 17 30 23 17 13 Mean 14.5 25.25 23 17.5 11.25 Standard Dev. 3.7859 4.2720 0.0000 1.0000 3.5000 It is also given that the overall mean = 18.3. Compute the following: (a) SSTR= ____________(b)…
An experiment is conducted to determine whether there is a differnce among the mean increases in growth produced by five strains (A, B, C, D and E) of growth hormones for plants. The experimental material consists of 20 cuttings of a shrub (all of equal weight), with four cuttings randomly assigned to each of the five different strains. The increases in weight for each cutting along with the sample mean and sample standard deviation of each group are given in the table below. A B C D E Plant 1 19 26 24 17 14 Plant 2 16 18 24 10 12 Plant 3 18 27 24 14 6 Plant 4 15 25 20 17 12 ∑? 68 96 92 58 44 ∑?2 1166 2354 2128 874 520 Compute the following: (a) SST=(b) SSE =(c) MST =(d) MSE =(e) F =
Consider the following measurements of blood hemoglobin concentrations (in g/dL) from three human populations at different geographic locations: population1 = [ 14.7 , 15.22, 15.28, 16.58, 15.10 ] population2 = [ 15.66, 15.91, 14.41, 14.73, 15.09] population3 = [ 17.12, 16.42, 16.43, 17.33] If you run ANOVA on the data for the three populations, what is the range of the P-value? Greater than 0.05 between 0.05 and 0.025 between 0.025 and 0.01 less than 0.01
An electrical engineer is interested in the effect on the tube conductivity of five different types of coating for cathode ray tubes used in telecommunications system display device. The following conductivity data are obtained: Coating Type 1 143 141 150 146 2 152 149 137 143 3 134 133 132 127 4 129 127 132 129 5 147 148 144 142 At 5% level of significance, is there any difference in conductivity due to coating type? What is the value of test statistic? Select one: a. 16.35 b. 19.0 c. 15 d. 3.06
Refer to the below table. Using an alpha = 0.05, test the claim that IQ scores are the same for children in three different blood lead level groups: low lead level, medium lead level, and high lead level). One-Way Analysis of Variance Summary Table for IQ Measurements for Children among Three Blood Lead Level Groups: Low Lead Level, Medium Lead Level, and High Lead Level. Source df SS MS F p Between-group (treatment) 2 469.1827 2677.864 2.30 0.104 Within-group (error) 118 203.6918 11745.05 Total 120
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.
In September 2005, 33% of adult Americans believed in haunted houses. In a poll conducted in June 2010, 370 of 1002 adult Americans aged 18 or older believed haunted houses. Is there sufficient evidence to believe that the proportion of adult Americans who believed in haunted houses has increased at the alpha = 0.05 level of significance.
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…