Std. Deviation calculation how to

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  • #1
Do_Not_Panic
1
0
Guys,

I need help. I have basically no knowledge of statistics, but I really need to solve this question. A famous high-end department store must decide on the quantity of a high-priced women’s handbag to procure in Italy for the upcoming holiday season. The unit cost of the handbag to the store is $68.50 and the handbag will sell for $150. Any handbags not sold at the end of the season are purchased by a discount firm for $20. In addition, the store accountants estimate that there is a cost of $0.40 for each dollar tied up in inventory, as this dollar invested elsewhere could have yielded a gross profit. Assume that this cost is attached to unsold bags only.

a) Suppose that the sales of bags are equally likely to be anywhere from 100 to 300 handbags during the season. Based on this, how many bags should the store purchase? (Hint: this means that the correct distribution of demand is uniform. You can use either a discrete or a continuous uniform distribution).

b) A detailed analysis of past data shows that the number of bags sold is better described by a normal distribution, with mean 200 and standard deviation 25. Now what is the optimal number of bags to be purchased?

c) The expected demand was the same in parts (a) and (b), but the optimal order quantities differed. What accounted for this difference?

For the rest of the question, assume that the demand is normally distributed with mean 200 and standard deviation 25.

d) The Italian bag supplier approaches the department store with the following deal: they will charge $60 per bag instead of $68.50 and buy any bags left unsold at the end of the season for $30. Should the store accept this deal? Why? What are the profits of the supplier and the retail store?

e) What if the supplier offers to sell each bag for $25 to the store but wants a share of 35% of the revenue generated from bags sold at the end of the season? Is this offer acceptable to the store? What are the profits of the supplier and the retail store?

f) If you know that the Italian supplier produces each bag for $13, what is the centralized solution?
I'm not sure what to do, where to start. Is it possible to do this in Excel? If yes, how?
 
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  • #2
Do_Not_Panic said:
Guys,

I need help. I have basically no knowledge of statistics, but I really need to solve this question.


A famous high-end department store must decide on the quantity of a high-priced women’s handbag to procure in Italy for the upcoming holiday season. The unit cost of the handbag to the store is $68.50 and the handbag will sell for $150. Any handbags not sold at the end of the season are purchased by a discount firm for $20. In addition, the store accountants estimate that there is a cost of $0.40 for each dollar tied up in inventory, as this dollar invested elsewhere could have yielded a gross profit. Assume that this cost is attached to unsold bags only.

a) Suppose that the sales of bags are equally likely to be anywhere from 100 to 300 handbags during the season. Based on this, how many bags should the store purchase? (Hint: this means that the correct distribution of demand is uniform. You can use either a discrete or a continuous uniform distribution).

b) A detailed analysis of past data shows that the number of bags sold is better described by a normal distribution, with mean 200 and standard deviation 25. Now what is the optimal number of bags to be purchased?

c) The expected demand was the same in parts (a) and (b), but the optimal order quantities differed. What accounted for this difference?

For the rest of the question, assume that the demand is normally distributed with mean 200 and standard deviation 25.

d) The Italian bag supplier approaches the department store with the following deal: they will charge $60 per bag instead of $68.50 and buy any bags left unsold at the end of the season for $30. Should the store accept this deal? Why? What are the profits of the supplier and the retail store?

e) What if the supplier offers to sell each bag for $25 to the store but wants a share of 35% of the revenue generated from bags sold at the end of the season? Is this offer acceptable to the store? What are the profits of the supplier and the retail store?

f) If you know that the Italian supplier produces each bag for $13, what is the centralized solution?



I'm not sure what to do, where to start. Is it possible to do this in Excel? If yes, how?

Such problems are standard in introductory Operations Research textbooks; they are known as "Newsboy problems" or "Newsvendor problems" or sometimes as "single-period inventory problems". You can find them discussed in any introductory Operations Reseach textbook, as well as in numerous on-line sources, such as http://www.columbia.edu/~gmg2/4000/pdf/lect_07.pdf (free download).
Just Google 'newsboy problem' or 'newsvendor problem'. Check out the sources first, then come back here if you still need assistance.

RGV
 

1. What is standard deviation?

Standard deviation is a statistical measure that represents the amount of variation or spread in a set of data. It measures how much the values in a data set differ from the average or mean value.

2. Why is standard deviation important?

Standard deviation is important because it allows us to understand the distribution of data and how much it deviates from the mean. It also helps us to compare the variability of different data sets and make conclusions about the data.

3. How is standard deviation calculated?

Standard deviation is calculated by taking the square root of the variance. The variance is the average of the squared differences from the mean. It is represented by the symbol σ (sigma) for a population and s for a sample.

4. What is the difference between population and sample standard deviation?

Population standard deviation is used when the data represents the entire population, while sample standard deviation is used when the data represents only a portion of the population. Sample standard deviation uses a slightly different formula to account for the fact that it is based on a smaller subset of data.

5. Why do we square the differences in the standard deviation formula?

The standard deviation formula involves squaring the differences from the mean because it gives more weight to larger deviations from the mean. This helps to better represent the spread of the data and reduces the impact of negative and positive values cancelling each other out.

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