Answer:
3744 inches squared, and 8 bags
Step-by-step explanation:
Ⓗⓘ ⓣⓗⓔⓡⓔ
˜”*°•.˜”*°• Area: •°*”˜.•°*”˜
Well, the formula for area is L*W
L=78 inches
W=48 inches
78*48=3744 inches squared
˜”*°•.˜”*°• Number of bags: •°*”˜.•°*”˜
3744/500=7.448
So he would need to buy 8 bags
(っ◔◡◔)っ ♥ Hope this helped! Have a great day! :) ♥
Answer:
At least 202.44 mm in the top 15%.
Step-by-step explanation:
When the distribution is normal, we use the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question, we have that:

How many yearly mm of rainfall would there be in the top 15%?
At least X mm.
X is the 100-15 = 85th percentile, which is X when Z has a pvalue of 0.85. So X when Z = 1.037.




At least 202.44 mm in the top 15%.
The linear equation to model the company's monthly expenses is y = 2.5x + 3650
<em><u>Solution:</u></em>
Let "x" be the units produced in a month
It costs ABC electronics company $2.50 per unit to produce a part used in a popular brand of desktop computers.
Cost per unit = $ 2.50
The company has monthly operating expenses of $350 for utilities and $3300 for salaries
We have to write the linear equation
The linear equation to model the company's monthly expenses in the form of:
y = mx + b
Cost per unit = $ 2.50
Monthly Expenses = $ 350 for utilities and $ 3300 for salaries
Let "y" be the total monthly expenses per month
Then,
Total expenses = Cost per unit(number of units) + Monthly Expenses

Thus the linear equation to model the company's monthly expenses is y = 2.5x + 3650
Answer:
Step-by-step explanation:
Given that a researcher is using a repeated-measures design to test for mean differences among four treatment conditions.
The data for this study consist of 10 scores in each treatment.
We have to find the total subjects who participated in the study.
Each treatment has 10 scores
No of treatments = 4
Hence subjects participated in the study
= no of treatment x no of subjects
= 
Answer:
2750 x (1 - 0.21)ˣ
Step-by-step explanation:
Original: 2750
1st week after: 2750 x (1 - 0.21)
2nd weeks after: 2750 x (1 - 0.21) x (1 - 0.21) = 2750 x (1 - 0.21)²
x weeks after: 2750 x (1 - 0.21)ˣ