Introduction: According to the M&M/Mars Company, headquartered in Hackettstown, New Jersey, the new mix of M&Ms Plain Chocolate Candies should contain 30% browns, 20% each of yellows and reds, and 10% each of oranges, greens, and blues. While the company mixes the colors as much as possible, the above ratios may vary especially in the smaller bags. This is because the various colors are combined in large quantities for the last production stage which is printing. The bags are filled on high-speed packaging machines by weight, not by count. Purpose: The purpose of this activity is to compare the actual distribution of M&Ms to the advertised ratios. A chi-squared test will be used.  If this were a traditional setting classroom, I would provide you each with a bag of M&Ms. You are more than welcome to buy a bag on your own if you want and stratify by color – or use the counts provided here from a bag in an earlier semester. You want to use a chi square test to see if the proportions of the colors of M&Ms in the bag matches the company’s claimed percentages. Use p=.05 as the level of significance for this test. A. What did you conclude from the test? What was your decision (reject or Fail to reject the H0?) B. Let’s say that when you open your bag of M&Ms you find: 4 Brown, 16 Blue, 10 Orange, 8 Green, 12 Red, and 6 Yellow.  Fill in the table below.  Use the company ratio to determine the expected values ( E).       Color Categories   Brown Blue Orange Green Red Yellow Total Observed                 Expected (E)               Deviation= (O – E)               D2 = (O-E) 2               D2 / E = (O-E) 2/E               X2 = ∑(O-E) 2/E

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Introduction:

According to the M&M/Mars Company, headquartered in Hackettstown, New Jersey, the new mix of M&Ms Plain Chocolate Candies should contain 30% browns, 20% each of yellows and reds, and 10% each of oranges, greens, and blues. While the company mixes the colors as much as possible, the above ratios may vary especially in the smaller bags. This is because the various colors are combined in large quantities for the last production stage which is printing. The bags are filled on high-speed packaging machines by weight, not by count.

Purpose:

The purpose of this activity is to compare the actual distribution of M&Ms to the advertised ratios. A chi-squared test will be used. 

If this were a traditional setting classroom, I would provide you each with a bag of M&Ms. You are more than welcome to buy a bag on your own if you want and stratify by color – or use the counts provided here from a bag in an earlier semester.

You want to use a chi square test to see if the proportions of the colors of M&Ms in the bag matches the company’s claimed percentages. Use p=.05 as the level of significance for this test.

A. What did you conclude from the test? What was your decision (reject or Fail to reject the H0?)

B.

Let’s say that when you open your bag of M&Ms you find: 4 Brown, 16 Blue, 10 Orange, 8 Green, 12 Red, and 6 Yellow.  Fill in the table below.  Use the company ratio to determine the expected values ( E).

 

 

 

Color Categories

 

Brown

Blue

Orange

Green

Red

Yellow

Total

Observed

 

 

 

 

 

 

 

 

Expected (E)

 

 

 

 

 

 

 

Deviation=

(O – E)

 

 

 

 

 

 

 

D2 =

(O-E) 2

 

 

 

 

 

 

 

D2 / E =

(O-E) 2/E

 

 

 

 

 

 

 

X2 =

∑(O-E) 2/E

 

 

 

 

 

 

 

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