A store offers four different brands of a product. It decides to eliminate one brand based on the likelihood a customer will return that brand. The table
shows the number of items of each brand that were returned over the past
year and the total sold.
Returns
Brand A
Total sold
343
17
Brand B
14
180
Brand C
16
383
Brand D
8
246
Which brand should the store consider eliminating?
A. Brand A
B. Brand B
C. Brand C
O D. Brand D

Please help me

B. Brand B

Step-by-step explanation:

We can see from the table above that the experimental probability of returns of Brand B is the highest, therefore it has the highest likelihood of being returned.

The store should consider eliminating Brand B.

use the power rule  

( a b ) n = a n b n

to distribute the exponent.

apply the product rule to  

3 x 2 y 3 . ( 3 x 2 ) 2 ( y 3 ) 2

apply the product rule to  

3 x 2 . 3 2 ( x 2 ) 2 ( y 3 ) 2

raise  

3

to the power of  

2 . 9 ( x 2 ) 2 ( y 3 ) 2 multiply the exponents in   ( x 2 ) 2

.

apply the power rule and multiply exponents,  

( a m ) n = a m n . 9 x 2 ⋅ 2 ( y 3 ) 2

multiply  

2   by   2 . 9 x 4 ( y 3 ) 2

multiply the exponents in  

( y 3 ) 2 .

apply the power rule and multiply exponents,  

( a m ) n = a m n . 9 x 4 y 3

⋅

2

multiply  

3   by   2 . 9 x 4 y 6

step-by-step explanation: