Answer:
I procastinate to do my work that was due 4 days ago
The waiting time at which 10 percent of the people would continue to hold is given as 2.3
<h3>How to solve for the waiting time</h3>
We have to solve for X ~ Exponential(λ).
then E(X) = 1/λ = 3,
= 0.3333
Remember that the cumulative distribution function of X is F(x) = 1 - e^(-λx). ; x is equal to the time in over case
For 10 percent of the people we would have a probability of
10/100 = 0.1
we are to find
P(X ≤ t)
= 1 - e^(0.3333)(t) = 0.1
Our concern is the value of t
Then we take the like terms
1-0.1 = e^(0.3333)(t)
1/0.9 = e^(0.3333)(t)
t = 3 * ln(1/0.9)
= 0.3157
Answer:
Our answer is E 114,420
Explanation:
Production budget:
Jan Feb Mar
Budgeted sales units 40000 37000 34000
Add: Ending inventory 12950 11900
Total requirement 52950 48900
Less: Beginning inventory 14000 12950
Budgeted production units 38950 35950
Purchase budget of Box:
Jan Feb
Budgeted production 38950 35950
Bx required per unit 3 3
Total requirement of Boxes 116850 107850
Add: Ending inventory 21570
Total boxes needed 138420
Less: Beginning inventory 24000
Budgeted Purchase boxes 114420
Answer is E. 114420
Answer: 4 times
Explanation:
GDP per capita is a way of measuring the wealth Distribution in a country. It is calculated by dividing the Gross Domestic Product by the population of the country. The aim usually is to see if the Country's economy is big enough considering the amount of people it has.
Country C has a GDP per capita of,
= 10,000/500
= $20
Country D has a GDP per capita of,
= 10,000/2,000
= $5
= 20/5
= 4
Country C has a GDP per capita that is 4 times that of C.
Answer:
6.95
Explanation:
Coupon rate = $69.50/$1,000 = .0695, or 6.95 percent