<h2>
Answer:</h2>
The ratios of earnings to hours are not the same each week, so the earnings do not vary directly with the hours.
<h2>
Step-by-step explanation:</h2>
We know that the data points given by (x,y) are in direct variation if:
for each (x,y)
We are given data as:
Caleb’s Earnings Hours(x) 12 15 18 21
Earnings (in dollars)(y) 140 170 200 230
So, we could see the ratio as:
Hence, we could see that each ratio are not equal.
Hence, the relationship between the earnings and the number of hours does not represents a direct variation.
Answer: 45
Step-by-step explanation:
Divide 90 by 2 and you will the the answer of 45.
Answer:
Yes the sample can be use to make inference
Step-by-step explanation:
The inference is possible if the conditions:
p*n > 10 and q*n > 10
where p and q are the proportion probability of success and q = 1 - p
n is sample size
Then p = 12 / 30 = 0,4 q = 1 - 0,4 q = 0,6
And p*n = 0,4 * 30 = 12 12 > 10
And q*n = 0,6 * 30 = 18 18 > 10
Therefore with that sample the conditions to approximate the binomial distribution to a Normal distribution are met
Only 4,52 would be on the graph.
If she stated at week 0 with 32 dollars it would be:
0, 32
1, 37
2, 42
3, 47
4, 52
5, 57
6, 62
7, 67
and so on.