Example 13.15. The following table gives the distribution of students and also ofregular players among them, according to age in completed years :Age in years151617181920:No. of students25020015012010080Regular players20015090483012Calculate the coefficient of association between majority and playing habit, on theassumption that majority is attained in 18th year.

Answered: Image /qna-images/answer/e31096f9-d6b7-4e27-80cb-65a2f0f12399.jpg

Answered: Example 13.15. The following table…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Cigarette smoking and cancer have been linked. Assume the number of bladder cancer deaths (in deaths per 100 thousand) and cigarette sales (in cigarettes sold/person) for 35 randomly selected countries are in the table below. X, cigarette sales (in cigarettes/person) Y, the number of bladder cancer deaths (in deaths/100 thousand) 26.18 4.09 23.78 4.89 28.27 4.46 21.25 5.14 24.96 5.27 28.6 4.46 26.92 4.69 20.1 3.08 19.96 2.89 23.44 2.93 14 3.31 30.34 3.46 20.08 2.94 23.32 3.72 29.18 4.99 28.04 3.2 27.91 4.75 18.24 2.99 40.46 5.6 20.94 3.64 16.08 3.06 18.2 2.9 22.86 4.78 27.56 4.04 18.06 3.25 29.14 5.3 21.58 4.65 33.6 4.78 21.17 4.04 26.38 4.47 21.84 2.91 31.1 5.11 28.92 4.79 42.4 6.54 22.12 4.23 a) State the random variables. rv X = of rv Y = of b) Make a scatterplot of X versus Y in StatCrunch (optional). Why do we wish to sketch a scatterplot? c) Find the equation…
Suppose the following data show the rankings of 11 states based on expenditure per student (ranked 1 highest to 11 lowest) and student-teacher ratio (ranked 1 lowest to 11 highest). State Expenditureper Student Student-TeacherRatio A 9 10 B 5 7 C 4 6 D 2 11 E 6 4 F 11 3 G 1 1 H 7 2 I 8 8 J 10 5 K 3 9 What is the rank correlation between expenditure per student and student-teacher ratio? (Round your answer to three decimal places.) Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = rs =
The data describes the life expectancy for males in 160 countries. The following statements analyze the data distributions for countries with low-per-capita income and countries with high-per-capita income. Per capita income(160 countries) Life expectancy (males) Low High 45-49 2 0 50-54 8 1 55-59 16 1 60-64 18 6 65-69 18 7 70-74 8 32 75-79 0 31 80-84 0 12 Totals 70 90 Suppose that you are tasked with writing analysis to compare the distribution of male life expectancy for low-income countries with the distribution of male life expectancy for high-income countries. Which of the following statements should you include in your analysis? Check all that apply. Group of answer choices 1. Typically, countries with low per capita income have a male life expectancy of 60 to 70 years, and countries with high per capita income have a male life expectancy of 70 to 80 years. 2. The overall range in life expectancies for males living in…
The data below represents international sales versus Canada sales for the McDonalds's Chain. Year Canada Sales International Sales 1987 7.6 2.3 1988 7.9 2.6 1989 8.3 2.9 1990 8.6 3.2 1991 8.8 3.7 1992 9.0 4.1 1993 9.4 4.8 1994 10.2 5.7 1995 11.4 7.0 1996 12.1 8.9 Required: Regress McDonald's international sales then answer the questions: a. What is the regression model? b. Interpret your results Type your numeric answerand submit
3. Some sports psychologists believe that an athlete's motivation is related to how many hours they will devote to training in a 2-week period. To see if this is true, a sports trainer measures the motivation (M) and training hours (TH) of a random sample of 8 Olympic-class athletes and obtains the following data: M TH 57 40 74 46 42 38 48 36 75 54 62 42 665 76 550 69 25 a) Is there a significant correlation between M and TH in this sample (a≤.05)? (8 points) b) If another athlete obtained an M score of 70, what would his or her predicted TH score be and what are the 90% bounds to the error of this prediction? (10 points)
This problem demonstrates a possible (though rare) situation that can occur with group comparisons. The groups are sections and the dependent variable is an exam score. Section 1 Section 2 Section 3 F= 60.5 62.5 76.8 68.3 59.4 71.1 73.1 67.4 54.4 p= 49.5 76 57.7 56.7 33.7 60.5 50.4 72.4 36.3 59.7 70.9 56 73.4 66.8 64.2 Run a one-way ANOVA (fixed effect) with a = 0.05. Round the F-ratio to three decimal places and the p- value to four decimal places. Assume all population and ANOVA requirements are met. 66 67.4 62.9 What is the conclusion from the ANOVA? O reject the null hypothesis: at least one of the group means is different fail to reject the null hypothesis: not enough evidence to suggest the group means are different
6, The accompanying Automobile Options dataset provides data on options ordered together for a particular model of automobile. By examining the correlation matrix, suggest some associations. The following relationships are suggested. Select all that apply. A.No Warranty and 3 Year Warranty B.Fastest Engine and Traction Control C.Faster Engine and AMFM divided by DVD D.AMFM divided by DVD and Traction Control E.No Warranty and Sunroof F.Faster Engine and 3 Year Warranty Automobile Options Engine Warranty Wheels Sound System Other Options Slower Engine Faster Engine Fastest Engine No Warranty 3 Year Warranty 5 Year Warranty 15 Inch 16 Inch Alloy AM/FM AMFM/DVD Premium Sunroof Traction Control 1 0 0 1 0 0 1 0 0 0 1 0 1 1 0 0 1 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 1 0 0 1 1 0 1 0 0…
Cigarette smoking and cancer have been linked. Assume the number of bladder cancer deaths (in deaths/100 thousand) and cigarette sales (in cigarettes/person) for 36 randomly selected countries are in the table below. X, cigarette sales (in cigarettes/person) Y, the number of bladder cancer deaths (in deaths/100 thousand) 25.91 5.21 23.44 2.93 28.6 4.46 40.46 5.6 22.57 3.21 21.84 2.91 42.4 6.54 24.96 5.27 28.27 4.46 31.1 5.11 20.08 2.94 20.94 3.64 22.12 4.23 19.96 2.89 18.06 3.25 21.17 4.04 14 3.31 28.64 5.98 29.14 5.3 27.56 4.04 21.58 4.65 18.24 2.99 26.18 4.09 16.08 3.06 27.91 4.75 26.38 4.47 33.6 4.78 26.92 4.69 23.75 3.95 28.04 3.2 25.89 4.63 29.18 4.99 22.86 4.78 23.78 4.89 30.34 3.46 23.44 2.86 a) State the random variables. rv X = of rv Y = of b) Make a scatterplot of X versus Y in StatCrunch (optional). Why do we wish to sketch a scatterplot? c) Find the…
13.
3. The following tables present the ratings for the top 20 prime time shows for the 2007-2008 season and for the 2017-2018 season. The rating is the percentage of households with TV sets that were turned on during the program. 2007-2008 21.7 15.4 2017-2018 9.7 14.0 10.2 16.1 13.1 10.6 20.8 19.8 15.0 14.2 11.9 11.5 10.4 10.5 16.1 11.6 12.7 15.9 8.2 9.7 12.8 12.6 12.7 9.2 16.6 12.0 12.0 10.8 13.6 11.1 10.9 13.8 9.4 9.2 9.1 9.2 9.0 8.8 A. Use your calculator to find the standard deviation of the 2007-2008 TV ratings (to the hundredths place). C. Compute the range for both seasons. B. Use calculator to find the standard deviation of the 2017-2018 TV ratings (to the hundredths place). 2007-2008 Range_ 2017-2018 Range_ 2A. 2B. D. Use complete sentences to compare the standard deviations and ranges from the two seasons. DO NOT USE DEFINITIONS in your writing. 4. In a poll, respondents were asked if they had ever been in a car accident. 379 respondents indicated that they had been in an…
Example 22.12 The following table gives the number of defects observed in 7 carpets passed as satis- factory. Construct the control chart for the number of defects. No. of carpet 1 2 4 6. 7 No, of defects 2 4 4 5 3.

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