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 62.38 59.34 53.32 56.47 Location Location 1 Location 1 Location 1 Location 1 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 1 do not seem to lie close to a stra plastic trash for this group (may / m plotted points for Location 2 using th not seem to lie close to a straight trash for this group (may / may not) plotted points in the QQ-plot (seem to a straight line) which indicates (may I may not satisfy the normalit

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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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