The Analysis of Biological Data
2nd Edition
ISBN: 9781936221486
Author: Michael C. Whitlock, Dolph Schluter
Publisher: W. H. Freeman
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Chapter 2, Problem 13PP
(a)
To determine
To explain: About the essential findings of the graph.
(b)
To determine
To explain: About the essential findings of the graph.
(c)
To determine
To explain: About the essential findings of the graph.
(d)
To determine
To explain: About the essential findings of the graph.
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Chapter 2 Solutions
The Analysis of Biological Data
Ch. 2 - Prob. 1PPCh. 2 - Prob. 2PPCh. 2 - Prob. 3PPCh. 2 - Prob. 4PPCh. 2 - Prob. 5PPCh. 2 - Prob. 6PPCh. 2 - Prob. 7PPCh. 2 - Prob. 8PPCh. 2 - Prob. 9PPCh. 2 - Prob. 10PP
Ch. 2 - Prob. 11PPCh. 2 - Prob. 12PPCh. 2 - Prob. 13PPCh. 2 - Prob. 14PPCh. 2 - Prob. 15PPCh. 2 - Prob. 16PPCh. 2 - Prob. 17PPCh. 2 - Prob. 18PPCh. 2 - Prob. 19APCh. 2 - Prob. 20APCh. 2 - Prob. 21APCh. 2 - Prob. 22APCh. 2 - Prob. 23APCh. 2 - Prob. 24APCh. 2 - Prob. 25APCh. 2 - Prob. 26APCh. 2 - Prob. 27APCh. 2 - Prob. 28APCh. 2 - Prob. 29APCh. 2 - Prob. 30APCh. 2 - Prob. 31APCh. 2 - Prob. 32APCh. 2 - Prob. 33APCh. 2 - Prob. 34APCh. 2 - Prob. 35APCh. 2 - Prob. 36APCh. 2 - Prob. 37AP
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- You are involved in a study of the relation between smoking and cholesterol concentration of high-density lipoprotein cholesterol (HDL-C), the following data were collected from samples of adult males who were non-smokers, light-smokers, moderate smokers and heavy smokers. Moderate Heavy Light Smokers Smokers Smokers Smokers Non- 12 9 5 3 10 8 4 11 7. 1 11 9 9 5 4 9 10 7 12 8 6 2 You wish to know if these data provide sufficient evidence to indicate that the four populations differ with respect to mean concentration of HDL-C. Let the probability of committing type I error be 0.05. If an overall significant difference is fount, determine which pair of individual sample means are significantly different.arrow_forwardKidsFeet Scatterplot Grouped by Sex The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length, (length), and width, (width), of their longest foot. Based on the scatterplot shown below, there appears to be a positive linear association between the length and width of a fourth grader's biggest foot that holds even when the child's sex is accounted for. Which of the following lines of code created this scatterplot (except for the title and axis labels)? ( ) xyplot(length~width, groups=sex, data=KidsFeet) ( ) xyplot(length~width, groups=sex, data=KidsFeet, auto.key=TRUE) ( ) xyplot(width~length,groups=sex,data=KidsFeet, auto.key=TRUE) ( ) xyplot(width~length, data=KidsFeet) ( ) xyplot(width~length,groups=sex,data=KidsFeet) ( ) xyplot(length~width, data=KidsFeet) ( ) xyplot(width~length|sex,data=KidsFeet) ( ) xyplot(length~width|sex, data=KidsFeet)arrow_forwardThe authors of a paper classified characters who were depicted smoking in movies released between a certain range of years. The smoking characters were classified according to sex and whether the character type was positive, negative, or neutral. The resulting data are summarized in the accompanying table. Assume that it is reasonable to consider this sample of smoking movie characters as representative of smoking movie characters. Do the data provide evidence of an association between sex and character type for movie characters who smoke? Use a = 0.05. Character Type Sex Positive Negative Neutral Male 256 107 132 Female 85 13 51 Calculate the test statistic. (Round your answer to two decimal places.) x2 = What is the P-value for the test? (Use technology to calculate the P-value. Round your answer to three decimal places.) p-value = What can you conclude? O Reject Ho: There is convincing evidence to conclude that the proportions falling into the character type categories are not all…arrow_forward
- The authors of a paper classified characters who were depicted smoking in movies released between a certain range of years. The smoking characters were classified according to sex and whether the character type was positive, negative, or neutral. The resulting data are summarized in the accompanying table. Assume that it is reasonable to consider this sample of smoking movie characters as representative of smoking movie characters. Do the data provide evidence of an association between sex and character type for movie characters who smoke? Use a = 0.05. Sex Male Female Positive Negative 256 85 Character Type USE SALT 107 11 Neutral 131 50 Calculate the test statistic. (Round your answer to two decimal places.) x² = Use technology to calculate the P-value. (Round your answer to four decimal places.) P-value =arrow_forwardA doctor wanted to determine whether there was a relation between a male's age and his HDL (so-called good) cholesterol. He randomly selected 17 of his patients and determined their HDL cholesterol. He obtained the following data. Age HDL Cholesterol Age HDL Cholesterol 38 57 38 44 42 54 66 62 46 34 30 53 32 56 51 36 55 35 27 45 52 40 52 38 61 42 49 55 61 38 39 28 26 47 (b) Comment on the type of relation that appears to exist between age and HDL cholesterol on the basis of the scatter diagram.arrow_forward
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