Answer:
0.02(750)+0.03(x−750)=37.5
Step-by-step explanation:
Given data
Melissa earns a 2% commission on the first $750 of sales
= 0.02(750)
She earns a 3% commission on the amount of her sales that are greater than $750 each week
let the amount of her sales be x
= 0.03(750-x)
Melissa earned $37.50 in commissions last week.
= $37.5
Her total earnings is $37.5
37.5= 0.02(750)+ 0.03(x-750)
37.5= 15+0.03x- 22.5
37.5-15+22.5= 0.03x
45= 0.03x
x= 45/0.03
x= 1500
old (first visit): 550 grams
second visit: gained 350 grams
third visit: gained 300 grams
new: cora's kitten is now 1200 grams.
-> now, we must find the percent increase between 550 and 1200.
to find percent increase, we use this equation
new - old / old x 100
-> (1200 - 550 / 550) x 100
(650 / 550) x 100
= 1.18 x 100
<u>percent increase: 118% </u>
<u></u>
✧ hope this helped!
- aure
From the moment the friend passes the bicyclist, his friend covers a distance over time t of (3.63 m/s)*t.
The bicyclist covers a distance of 1/2*(2.11 m/s^2)*t^2. They meet when these distances are equal:
3.63 t = 1.055 t^2 ==> 1.055 t^2 - 3.63 t = 0
==> t = 0 s or t = 3.44 s
Answer:
Yes
Step-by-step explanation:
Because they are reflecting over a x intercept
Answer:
No. The data in this study were not based on a random method. This is a key requirement for an inference to be made from the two-sample t-test.
Step-by-step explanation:
1. Hayden can use the two-sample t-test (also known as the independent samples t-test)to find out if there was a difference in the time spent in the checkout time between two grocery stores and to conclude whether the difference in the average checkout time between the two stores is really significant or if the difference is due to a random chance. There are three conditions to be met when using the two-sample t-test.
2. The first condition is that the sampling method must be random. This requirement was not met in this study. Each customer from each store should have an equal chance of being selected for the study. This was not achieved.
3. The distributions of the sample data are approximately normal. This is achieved with a large sample size of 30 customers selected for each study.
4. The last but not the least condition is the independence of the sample data. Sample data here is independent for both samples.
