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
The original data is :
Data for Hermann Corporation
Per unit Percent of sales
Selling price $ 75 100%
Variable expenses 51 68
Contribution margin $ 24 32%
The fixed expenses are $ 75,000 per month and the company is selling 4000 units per month.
Solution :
Present Proposed
Sales 300000 375000
Less : Variable cost 204000 275000
Contribution margin 96000 100000
Less : Fixed expenses <u> 75000 </u> <u> 75000 </u>
Net income 21000 25000
The net operating income : Increases 4000
Net operating income = increased sales Net income - current sales net income.
Therefore the higher quality component should be used.
Answer:
D. A limited liability company because he will only be liable for what he has invested in the business. His personal assets will be protected, and he can be taxed like a sole proprietorship.
Answer:
the investment's coefficient of variation is 1.25.
Explanation:
The coefficient of variation relates the units of return to the units of risk. It expresses the unit of risk per 1% of return as follows :
<em>Coefficient of Variation = Standard Deviation ÷ Return</em>
Therefore,
Coefficient of Variation = 10 ÷ 8
= 1.25
