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If the NGO's interest is to determine whether there are differences in the amount of plastic trash among the major coastal locations, which between the parametric test, F-test using one-way ANOVA, or the nonparametric test, Kruskal-Wallis Test, is appropriate to use? a. Using the data set, generate histograms of the amount of plastic trash for each of the three + locations. Plastic Waste 48.46 56.13 51.87 66.09 Location Location 1 Location 1 Location 1 Location 1 b. Discuss and interpret all the results from the two highlighted choices Based on the QQ-plot for Location do not seem to lie close to a str plastic trash for this group (may / plotted points for Location 2 using t not seem to lie close to a straigh

If the NGO's interest is to determine whether there are differences in the amount of plastic trash among the major coastal locations, which between the parametric test, F-test using one-way ANOVA, or the nonparametric test, Kruskal-Wallis Test, is appropriate to use? a. Using the data set, generate histograms of the amount of plastic trash for each of the three + locations. Plastic Waste 48.46 56.13 51.87 66.09 Location Location 1 Location 1 Location 1 Location 1 b. Discuss and interpret all the results from the two highlighted choices Based on the QQ-plot for Location do not seem to lie close to a str plastic trash for this group (may / plotted points for Location 2 using t not seem to lie close to a straigh

MATLAB: An Introduction with Applications
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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1. If the NGO's interest is to determine whether there are differences in the amount of plastic trash among the major coastal locations, which between the parametric test, F-test using one-way ANOVA, or the nonparametric test, Kruskal-Wallis Test, is appropriate to use? a Using the data set, generate histograms of the amount of plastic trash for each of the three + locations. Location Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Plastic Waste 48.46 56.13 51.87 66.09 62.38 59.34 53.32 56.47 68.14 54.07 57.32 54.51 48.04 65.56 55.89 58.64 53.96 42.31 63.38 48.12 46.57 35.26 40.81 38.38 39.88 31.91 39.24 41.65 33.51 37.56 b. Discuss and interpret all the results in testing the assumptions of the parametric F-test. Choose from the two highlighted choices. Type the answer Based on the QQ-plot for Location 1, the plotted points (seem to lie close to a straight line / do not seem to lie close to a straight line). Which indicates that the data on the amount of plastic trash for this group (may / may not) satisfy the normality assumption. Meanwhile, the plotted points for Location 2 using the QQ-plot points (seem to lie close to a straight line / do not seem to lie close to a straight line) which indicates that the data on the amount of plastic trash for this group (may / may not) satisfy the normality assumption. Lastly, for Location 3, the plotted points in the QQ-plot (seem to lie close to a straight line / do not seem to lie close to a straight line) which indicates that the data on the amount of plastic trash for this group (may / may not) satisfy the normality assumption. Results of the statistical tests show that the data on the amount of plastic trash for Location 1 (satisfied / did not satisfy) the normality assumption, given the p-value equal to Type the answer. Meanwhile, the data on the amount of plastic trash for Location 2 (satisfied / did not satisfy) the normality assumption, given the p-value equal to Type the answer. Lastly, for Location 3, the normality assumption is (satisfied / not satisfied), given the p-value equal to Type the answer. For the homogeneity of variances assumption, the boxplots (seem to have slight differences in terms of the boxplot sizes and whiskers of the plots / seem to have considerable differences in terms of the boxplot sizes and whiskers of the plots) which indicates that the assumption (may / may not) be satisfied. Result of the statistical test indicate that the homogeneity of variances assumption is (satisfied / not satisfied), given the p-value equal to Type the answer c. Which between a parametric test or a nonparametric test would you recommend? A (parametric / nonparametric) test is recommended since Type the answer. ONLY ANSWER B AND C
Transcribed Image Text:1. If the NGO's interest is to determine whether there are differences in the amount of plastic trash among the major coastal locations, which between the parametric test, F-test using one-way ANOVA, or the nonparametric test, Kruskal-Wallis Test, is appropriate to use? a Using the data set, generate histograms of the amount of plastic trash for each of the three + locations. Location Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 1 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 2 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Location 3 Plastic Waste 48.46 56.13 51.87 66.09 62.38 59.34 53.32 56.47 68.14 54.07 57.32 54.51 48.04 65.56 55.89 58.64 53.96 42.31 63.38 48.12 46.57 35.26 40.81 38.38 39.88 31.91 39.24 41.65 33.51 37.56 b. Discuss and interpret all the results in testing the assumptions of the parametric F-test. Choose from the two highlighted choices. Type the answer Based on the QQ-plot for Location 1, the plotted points (seem to lie close to a straight line / do not seem to lie close to a straight line). Which indicates that the data on the amount of plastic trash for this group (may / may not) satisfy the normality assumption. Meanwhile, the plotted points for Location 2 using the QQ-plot points (seem to lie close to a straight line / do not seem to lie close to a straight line) which indicates that the data on the amount of plastic trash for this group (may / may not) satisfy the normality assumption. Lastly, for Location 3, the plotted points in the QQ-plot (seem to lie close to a straight line / do not seem to lie close to a straight line) which indicates that the data on the amount of plastic trash for this group (may / may not) satisfy the normality assumption. Results of the statistical tests show that the data on the amount of plastic trash for Location 1 (satisfied / did not satisfy) the normality assumption, given the p-value equal to Type the answer. Meanwhile, the data on the amount of plastic trash for Location 2 (satisfied / did not satisfy) the normality assumption, given the p-value equal to Type the answer. Lastly, for Location 3, the normality assumption is (satisfied / not satisfied), given the p-value equal to Type the answer. For the homogeneity of variances assumption, the boxplots (seem to have slight differences in terms of the boxplot sizes and whiskers of the plots / seem to have considerable differences in terms of the boxplot sizes and whiskers of the plots) which indicates that the assumption (may / may not) be satisfied. Result of the statistical test indicate that the homogeneity of variances assumption is (satisfied / not satisfied), given the p-value equal to Type the answer c. Which between a parametric test or a nonparametric test would you recommend? A (parametric / nonparametric) test is recommended since Type the answer. ONLY ANSWER B AND C
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