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Which test would you use for the following scenario? You are told that the number of cracked M&M's depends on the color. To check this

Which test would you use for the following scenario? You are told that the number of cracked M&M's depends on the color. To check this claim, you randomly select 100 M&M's of each color and count and record the number of cracked and I cracked M&M's of each color.

Chi square test of independence

Chi square test of homogeneity

Chi square test of goodness of fit

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HT 13) Listed below are the April utility bills (in for Q dollars) for one neighborhood. Assuming that the data is normally distributed, test the claim 10.4 that the standard deviation for the data is less Critical value than $15. Use a = 0.01. Do the stpe-by-step process. aproch use 70 48 41 68 69 55 70 57 60 83 2 Chi - squere 32 60 72 58 appletChi-Square TRUE OR FALSE? For each question below, type your answer for each question in purple font. (1 pt. each) If the statement is false, explain why to earn 1/2 bonus point (a.k.a. how to correct it). 1. A characteristic that distinguishes chi square from other statistical tests is that Null Hypothesis Significance Testing is not used. 2. As a nonparametric test, chi-square is more stringent about the assumptions that must be met for the test to be accurate. 3. A null hypothesis for a chi square goodness of fit test might indicate that the distribution of categories for a variable in the population you are interested in is the same as the distribution of categories for that variable in a known population. 4. If you run a chi square test of independence, and the p-value associated with your test statistic is p -.00051, this means you should conclude that your two variables are consistently related in the population.Question 4 3 pts What kind of statistical test would I use if I have one sample of people but I do not know sigma? O two-way anova O dependent samples t-test O one sample z-test independent samples t-test O chi-square test of independence O one-way between-subjects anova O chi-square goodness of fit O correlation O one-way repeated measures anova O one sample t-test

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