Answer: 1. W: Is it worth doing?,2. R: Is it real, 3. R: Is it real, 4. W: Can we win?,5.W: Can we win?-
Explanation:The R-W-W Framework is used to screen new products. R-W-W stands for:
Is it Real?
Can we Win?
Is it Worth doing? By matching each description to nthe correct R-W-W category, i have that
1) The new product would cost $12.50 to manufacture, and similar products sell for $9.00----- W: Is it worth doing?
2)Research shows that 85% of high school students enjoyed playing the new game.-----R: Is it real
3)The results of the last market survey showed only 35% of consumers were interested in the new product-----.
R: Is it real?
4)A smaller ergonomic mouse was used by 57% of data entry clerks who participated in the survey.
----W: Can we win?-
5)To manufacture the new product, the company may need to hire 10 more assemblers.-----W: Can we win?
Answer:
Credit Risk Manager. Also referred to as: Manager - Credit Risk Management. Requirements and Responsibilities. Develops and implements policies and procedures that reduce credit risk for a financial institution. Manages the building of financial models that predict credit risk exposure to the organization.
The probability that demand is greater than 1800 gallons over a 2 hour period is : 0.5
<u>Given data :</u>
Mean value of gasoline per hour = 875 gallons
Standard deviation = 55 gallons
<h3>Determine the probability of demand being greater than 1800 gallons over 2 hours </h3>
Demand for gas in 1 hour = X₁
Demand for gas in 2 hours = X₁ + X₂
Therefore ; ( X₁ + X₂) ~ N ( u₁+u₂, sd₁² + sd₂² )
In order to calculate probabilities for normals apply the equation below
Z = ( X- u ) / sd
where : u = 1800, sd = √ ( 55² + 55² ) = 77.78
using the z-table
P( Y > 1800) = P( Z > ( 1800 - 1800 ) / 77.78)
= P( Z>0 ) = 0.5
Hence we can conclude that The probability that demand is greater than 1800 gallons over a 2 hour period is : 0.5.
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Answer:
E) None of these
Explanation:
Calculation to determine which of the following is the mean time between arrivals
Using this formula
Mean time between arrivals = 1/Arrival rate
Let plug in the formula
Mean time between arrivals= 1/12
Mean time between arrivals= 0.0833 hours or 5 minutes
Therefore the Mean time between arrivals will be 0.0833 hours or 5 minutes
Risk retention is good for the company as the good has the better strategies planned about the product mix and if the things changed in the future the company is able to conquer the loss.
<h3>What is product mix?</h3>
Product mix is the total number of products sell by the particular company, the products can be further divided into the categories and division. Many big companies have the different line products like the cosmetics, glasses, home materials and others.
Thus, Risk retention is good for the company as the good has the better strategies
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