Answered: 6. Which of the graphical procedures…

Math

Statistics

6. Which of the graphical procedures for qualitative data do you prefer? Why?

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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Which of these statements correctly describe examples of qualitative and quantitative data? Select all that apply. "The flower shop sells 14 varieties of flowers" is an example of qualitative data. "The flower shop sells orchids and lilies" is an example of quantitative data. "The chicken breast is heavy" is an example of qualitative data. "The chicken breast weighs 2 pounds" is an example of quantitative data. "The battery is almost out of charge" is an example of qualitative data. "The battery is 12% charged" is an example of quantitative data. "The sky is blue" is an example of qualitative data. "The sky scatters light at 400-nm wavelengths" is an example of quantitative data. "The newspaper's pages measure 350 mm in length" is an example of qualitative data. "The newspaper has 15 pages" is an example of quantitative data.
I need the right answer to a and b.
Hi Expert, I need help. Thanks Judge and Cable (2010) report the results of a study demonstrating a negative relationship between weight and income for a group of men. Following are data similar to those obtained in the study. To simplify the weight variable, the men are classified into five categories that measure actual weight relative to height, from 1 = thinnest to 5 = heaviest. Income figures are annual income (in thousands), rounded to the nearest $1,000. Weight Income 4 151 5 88 3 52 2 73 1 49 3 92 1 56 5 143 These data show a positive relationship between weight and income for a sample of men. However, weight was coded in five categories, which could be viewed as an ordinal scale rather than an interval or ratio scale. If so, a Spearman correlation is more appropriate than a Pearson correlation. Convert the weights and the incomes into ranks and complete the table that follows. Ranks X Y XY 8 7 6…
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a. Which data set has a larger variation? (justify your answer)b. Is Chebyshev' rule verified for these two data sets. (Justify your answer graphically).c. What can we conclude?
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_____ indicates the strength and direction of an association while _____ shows the amount of variance one variable explains in the other. Group of answer choices a. r; r2 b. r2; r c. coefficient of determination; regression line d. regression line; coefficient of determination
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The data used is from college campuses. The variables used in the analysis below include: crime, total campus crime; enroll, total enrollment; police, employed officers. Use the estimated OLS models to answer the questions below: Model A: In(crime) = -6.631 + 1.270ln(enroll), (1.034) (.110) n = 97; R² = .5804 Model B: In(crime) = -4.794 + .923ln(enroll) (.144) (1.112) n = 97; R² = .632 +.516ln(police), (.149) Using Model A, test the null hypothesis that elasticity of crime with respect to enrollment is unit elastic, i.e. equal to one (against a two-sided alternative). Calculate the t-statistic.