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kompoz [17]
3 years ago
9

In a safety stock problem where both demand and lead time are variable, demand averages 150 units per day with a daily standard

deviation of 16, and lead time averages 5 days with a standard deviation of 1 day. What is the standard deviation of demand during lead time
Business
1 answer:
steposvetlana [31]3 years ago
7 0

Answer: 154 units

Explanation:

Standard deviation of demand during lead time = √[(Mean lead time * Standard deviation of demand ²) + (Mean demand * standard deviation of lead time²)]

= √ [ ( 5 * 16²) + (150² * 1²)]

= √[ 1,280 + 22,500]

= 154.20765

= 154 units

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30. Crusty Cakes sells donuts in Eastown and Westown. It's total costs are given by TC = 10(QE + QW). The demand in each neighbo
pochemuha

Answer:

Total Maximized Profit = $2612.5

Explanation:

given data

Total Cost TC = 10(QE + QW)

QE = 100 - 2PE

QW = 100 - PW

solution

we consider here Q is = QE + QW

so total cost  TC = 10 Q

we first derive it Marginal Cost by taking derivative of TC w.r.t Q  that is

MC = \frac{dTC}{dQ}    

MC = 10

so when crusty practice price discrimination then it will different marginal revenue from each market is

QE = 100 - 2PE

and

Total Revenue from market E is

E = TRE = QE × PE

E =  100PE - 2PE²

and

Marginal Revenue from E is

E  = MRE = \frac{dTRe}{dPe}  

E = 100 - 4PE

and

now we put MRE = MC

100 - 4PE = 10

PE =  $22.5

and here QE will be

QE = 100 - 2PE

QE = 100 - 45

QE = 55 units

and

TRE = 55  × 22.5

TRE = $1237.5

and

now Considering second neighborhood W

QW = 100 - PW

so here

TRW = 100PW - PW²

and

MRW = 100 - 2PW

now we equating MRW with MC

so it will be

100 - 2PW = 10

PW = $45

and

Q = 100 - PW

Q = 100-45

Q = 55 units

so

TRW = 55 × 45

TRW = $2475

so here

Total Revenue will be

Total Revenue = TRE + TRW

Total Revenue = $1237.5 + $2475

Total Revenue = $3712.5

and

Total Cost will be

Total Cost  = 10(55+55)

Total Cost  = $1100

and

Total Maximized Profit  will be

Total Maximized Profit = TR -TC

Total Maximized Profit = $3712.5 - $1100

Total Maximized Profit = $2612.5

6 0
3 years ago
Since many people have trouble programming their dvd​ players, an electronics company has developed what it hopes will be easier
tatyana61 [14]

Answer:

z=\frac{0.92-0.95}{\sqrt{\frac{0.95(1-0.95)}{100}}}=-1.376  

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of  interest is not significantly lower than 0.95, so then the program works since we fail to reject the null hypothesis.

Explanation:

Data given and notation

n=100 represent the random sample taken

X=92 represent the successful

\hat p=\frac{92}{100}=0.92 estimated proportion of successes

p_o=0.95 is the value that we want to test

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is lower than 0.95 or no.:  

Null hypothesis:p\geq 0.95  

Alternative hypothesis:p < 0.95  

When we conduct a proportion test we need to use the z statisitc, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info required we can replace in formula (1) like this:  

z=\frac{0.92-0.95}{\sqrt{\frac{0.95(1-0.95)}{100}}}=-1.376  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level assumed \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of  interest is not significantly lower than 0.95, so then the program works since we fail to reject the null hypothesis.

4 0
4 years ago
The expected return on a portfolio considers which of the following factors? I Percentage of the portfolio invested in each indi
lbvjy [14]

Answer:

I. Percentage of the portfolio invested in each individual security.

II. Projected states of the economy.

III. The performance of each security given various economic states.

IV. Probability of occurrence for each state of the economy.

Explanation: The expected return on a portfolio is the amount of revenue or income expected to be generated from the investment made on a portfolio( which is a group of financial assets like Stocks and non financial assets like Art

works etc).

THE EXPECTED RATE OF RETURN IS AFFECTED BY BOTH PERCENTAGE OF THE PORTFOLIO INVESTED IN EACH SECURITY,

THE PROJECTED OR FORCASTED STATE OF THE ECONOMY,

THE PERFORMANCE OF EACH SECURITY CONSIDERING DIFFERENT SITUATIONS,

THE PROBABILITY OF OCCURRENCE FOR EACH STATE OF THE ECONOMY ETC.

6 0
4 years ago
What do you mean by traditional professional? explain with explain.​
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Answer:

Army unnie !

Explanation:

Are excited for tomorrow ? I mean time is melting !!!

7 0
3 years ago
Asking a job candidate his or her marital status is
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Answer: Asking a job candidate his or her marital status is illegal.

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Hope this helps!  :)

4 0
4 years ago
Read 2 more answers
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