company A :
30,000 + 0.03(37499) = 31124.97...sales less then 37500
30,000 + 0.03(37501) = 31125.03....sales exceed 37500
30,000 + 0.03(249000) = 37470 ...sales less then 250000
30,000 + 0.03(251000) = 37530....sales exceed 250000
company B :
25,000 + 0.05(37499) = 26874.95...sales less then 37500
25,000 + 0.05(37501) = 26875.05...sales exceed 37500
25000 + 0.05(249000) = 37450...sales less then 250000
25,000 + 0.05(251000) = 37550...sales exceed 250000
so i believe your answer is option b,
company A pays better when sales are less then 250,000, but company B pays better when sales exceed 250,000 <==
Answer:
No. These measures show a thinner team of NFL players according to the mean, variance, standard deviation, and quartiles.
Step-by-step explanation:
1) The measures of variation, namely The Range, Variance, Quartiles, Interquartiles, Sum of Squares, etc. shows us how the data are dispersed.
The Range Δ is calculated:
Maximum value - Minimum value for weight
Mean:

Variance:

The Standard Deviation of the sample

2) Since there is no preceding exercise, the comparison was made to a recent study in which a NFL player average weight is about 245 pounds (average),
Since 25% of this list are player whose weight is 192.5 lbs and 50% (2nd Quartile) =225 lbs , finally only at the 3rd Quartile we have players above the regular NFL average with 253. This, added with the other data, allow us to say that this list is not a typical of all NFL players.
0.10×16,050+0.28×(134,899−16,050)
=34,882.72
ACE IS THE CORRECT ANSWER
This is because
The triangle a c and e