Answer:
True
Explanation:
A single use plan is basically a one time business transaction that is supposed to take place only once and should not be repeated in the future. In this case, the production plant has been used for more than 100 years, but once it is sold, its history and the company should no longer have any type of relationship with it.
I believe the answer is: <span>the allocation method
production possibilities graph could only include the factors that can be projected after doing combination of various products' production.
Allocation method only play role in the technique that can be used to produce the products and cannot be considered as data projection from the production
</span>
Answer and Explanation:
The computation of the service level and the corresponding optimal stocking level is shown below:
Given that
Selling price = SP = $4.50
Cost price = CP = $3.00
So,
Salvage value = V = $1.50
Average daily demand (d) = 35 quarts
The standard deviation of daily demand = 4 quarts
based on the above information
Overage cost = (Co) is
= CP - V
= $3.00 - $1.50
= $1.50
Now
Underage cost= (Cu)
= SP - CP
= $4.50 - $3.00
= $1.50
So,
Service level is
= Cu ÷ (Co + Cu)
= 1.50 ÷ (1.50 + 1.50)
= 1.50 ÷ 3.00
= 0.50
= 50%
Now
At 50 % service level, the value of Z is 0
So,
Optimal stocking level is
= d + Z × standard deviation
= 35 + (0 × 4)
= 35 + 0
= 35 quarts
Resources is referred to as the available asset that can be used for
further purposes may it be for business or consumption. This is what
determines the balance between the production and consumption for
without these, production would not be possible and if nothing is
produced, nothing would also be consumed. Resources come in different
forms and each has its own availability. Answer for this would be C.
Answer:
And we can find this probability using the normal standard distribution table or excel and we got:
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the expected return, and for this case we know the distribution for X is given by:
Where 
and 
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard distribution table or excel and we got:
