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According to Masterfoods, Inc., peanut M&M’s are 12% brown, 15% yellow, 12% red, 23% blue, 23%...

According to Masterfoods, Inc., peanut M&M’s are 12% brown, 15% yellow, 12% red, 23% blue, 23% orange, and 15% green. On a Saturday when you have run out of statistics homework, you decide to test this claim. You purchase a medium bag of peanut M&M’s and find 39 browns, 44 yellows, 36 red, 78 blue, 73 orange, and 48 greens. What type of hypothesis test should be used toTest the hypothesis, do not solve.

Difference betweeen proprtions test (2prop-ztest)

Difference between Means Test

?2 Goodness of Fit test

?2 Test for Independence

Test for Correlation
Math   Statistics-And-Probability   
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Answer #1

Solution:

Here we have to test proportions of each M&M's.

We have to set given hypothesised expected proportions in null hypothesis. Also we have given observed values of browns,yellows,red,blue,orange and greens

Hence we have to use chi square test for goodness of fit to check population proportion.

General hint: Our goal is to use observed sample proportions to test hypotheses about unobserved

population proportions .

Hence correct option is ?2 Goodness of Fit test

Done

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