Hey There!:
Sample Mean = 4.4823
SD = 0.1859
Sample Size (n) = 7
Standard Error (SE) = SD/root(n) = 0.0703
alpha (a) = 1-0.99 = 0.01
t(a/2, n-1 ) = 3.7074
Margin of Error (ME) = t(a/2,n-1)x SE = 0.2606
99% confidence interval is given by:
Sample Mean +/- (Margin of Error)
4.4823 +/- 0.2606 = (4.222 , 4.743)
Hope this helps!
<span>The answer is 516,250 by first calculating expenses (6,500,000-40,000-expenses=590,000), net income = revenue-expenses.</span>
Answer:
$807,500
Explanation:
First determine the cost per unit (U) as a function of cost of materials (M):
M = 2 * $2.00 = $4.00
And cost of labor and overhead (L):
L = 2.7*($20.00+$10.00)
L= $81.00
Total cost per unit is:
U = M + L = $4.00+ $81.00
U = $85.00
The estimate cost of goods sold for the month of May (C) is the product of the cost per unit by the number of units sold during the month (9,500):
C= $85.00*9,500
C= $807,500
Therefore, the estimated cost of goods sold for May is closest to $807,500
Answer:
Because he is able to cover the variable cots, he should keep going in the short run. He must increase the number of walks to cover the fixed costs.
Explanation:
Giving the following information:
Kay walks dogs for $7.50 each. Her total cost each day is $45—she spends $35 a day on gas driving to different neighborhoods, and her liability insurance and other fixed costs average out to $10 per day.
Kay walks five dogs a day.
Income= 7.5*5= $37.5
Total cost= 45
Loss= (7.5)
Because he is able to cover the variable cots, he should keep going in the short run. He must increase the number of walks to cover the fixed costs.
