The sample standard deviation of this dataset is =19.1.
The Standard deviation is a degree of the amount of variant or dispersion of a set of values. A low widespread deviation indicates that the values tend to be near the mean of the set, at the same time as a high widespread deviation indicates that the values are spread out over a much wider variety.
x x- \bar x=x-101 (x-ˉx)2
96 -5 25
125 24 576
80 -21 441
110 9 81
75 -26 676
100 -1 1
121 20 400
∑x=707 ∑(x-\bar x)=0 ∑(x-\bar x)2=2200
Mean \bar x =∑x/n
=96+125+80+110+75+100+121/7
=707/7
=101
Sample standard deviation S=√∑(x-\bar x)2/n-1
=√2200/6
=√366.6667
=19.1
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Answer:
D. Exporting Her Products.
Explanation:
As Mary wants to sell her products in Europe since they're doing well in the United States. She doesn't have a lot of capital and is risk-averse, so she should begin with exporting her products which is the least riskiest and easiest way to enter in foreign market. Exporting is the mechanism by which you sell your products outside your country and generate profits. In this process very less risk is involved and you also need less level of investment as well. Mary can contact some sellers there and send her products to them and receive payment, hence much less risk in involved. With the help of exporting, she can also get the insights about that market's buying patterns as well that which products are in high demand there and can be sold profitably.
A difference in the subject matters of operas X and Y
Explanation:
A difference in ticket prices , operating expenses , merchandise sales with operas X and Y could directly explain the result indicated about the given statement.
The costs of goods produced is typically included in the balance sheet as a separate item. The residual expenditures not included in COGS are operating expenses. Customer selling is carried out by merchandising, whereas the term "sales" applies to a customer who simply purchases a product and performs a buying transaction.
Solution :
The optimal order quantity, EOQ = 
EOQ = 
= 115.47
The expected number of orders = 
= 17.32
The daily demand = demand / number of working days
= 8.33
The time between the orders = EOQ / daily demand
= 13.86 days
ROP = ( Daily demand x lead time ) + safety stock
= 76.64
The annual holding cost = 
= 207.85
The annual ordering cost = 
= 207.85
So the total inventory cost = annual holding cost + annual ordering cost
= 207.85 + 207.85
= 415.7
