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M&M plain candies come in various colors. According to the M&M/Mars Department o

ID: 3301839 • Letter: M

Question

M&M plain candies come in various colors. According to the M&M/Mars Department of Consumer Affairs, the distribution of colors for plain M&M candies is as follows.

Color

Purple

Yellow   

Red

Orange

Green

Blue

Brown

Percentage

17%

22%

19%

6%

7%

6%

23%

Suppose you have a large bag of plain M&M candies and you choose one candy at random.

(a) Find P (green candy or blue candy).

Are these outcomes mutually exclusive? Why?

Yes. Choosing a green and blue M&M is possible.

No. Choosing a green and blue M&M is not possible.    

Yes. Choosing a green and blue M&M is not possible.

No. Choosing a green and blue M&M is possible.

(b) Find P(yellow candy or red candy).

???

Are these outcomes mutually exclusive? Why?

No. Choosing a yellow and red M&M is not possible.

Yes. Choosing a yellow and red M&M is possible.    

No. Choosing a yellow and red M&M is possible.

Yes. Choosing a yellow and red M&M is not possible.

(c) Find P(not purple candy).

Color

Purple

Yellow   

Red

Orange

Green

Blue

Brown

Percentage

17%

22%

19%

6%

7%

6%

23%

Explanation / Answer

a) P (green candy or blue candy) is computed as the probability that either a green candy or a blue candy is taken out

= P( green ) + P( blue )

= 0.07 + 0.06

= 0.13

Therefore 0.13 is the required probability here.

These outcomes are clearly mutually exclusive because we are taking out 1 M&M and we cannot have a green and a blue M&M in 1 draw.

Therefore Yes Choosing a green and blue M&M is not possible is the correct answer here.

b) P( yellow or red candy )

= P( yellow ) + P( red )

= 0.22 + 0.19

= 0.41

Therefore 0.41 is the required probability here.

These outcomes are clearly mutually exclusive because we are taking out 1 M&M and we cannot have a yellow and a red M&M in 1 draw.
Therefore Yes Choosing a yellow and red M&M is not possible is the correct answer here.

c) P( not purple only )

= 1 - P( purple )

= 1 - 0.17

= 0.83

Therefore 0.83 is the required probability here.