The reason for a bimodel distribution is that a bimodal distribution may occasionally result from merging data from two processes or populations.
<h3>What is a bimodel distribution?</h3>
- Two modes comprise a bimodal distribution. In other words, the results of two distinct processes are integrated into a single collection of data.
- The distribution sometimes goes by the name "double-peaked." Consider the distribution of production data over two shifts in a manufacturing facility.
- Bimodal distributions frequently happen as a result of underlying events.
- A bimodal distribution, for instance, can be seen in the amount of patrons who visit a restaurant each hour because people typically eat out for lunch and dinner.
- The bimodal distribution is brought on by the underlying human behavior.
- If a data set has two modes, it is bimodal. This indicates that no particular data value has the highest frequency of occurrence. Instead, the highest frequency is tied between two data values.
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Answer:
2nd place
Explanation:
I feel like this is the right answer, I'm just guessing.
Answer:
£30 million
Explanation:
Banks net exposure serves as the the money currently owned by the bank.
Credit to bank;
Loans to corporate customers is bank's money since customers will repay the loan back to the bank even with interest = £120 million
Total credit owned by the bank =
£120 million
Debit;
Deposit owned to customers = £70 million (It is customers money not bank's)
Money sold forward by bank is also going out of banks pocket (debit) =£20 million
Total debt owned by bank = £70 million+£20 million = £90 million
Bank's net exposure = Total credit - debt owned by bank
Banks net exposure = £120 million - £90 million
= £30 million
Answer:
The formula is not used if consumer demand and ordering and holding costs are not constant.
Explanation:
E.O.Q formula measures the ideal quantity of order a company should purchase in order to minimize its inventory costs, such as holding costs and shortage costs. The formula, however has its limitations, in a way that it assumes that the costumer demand is constant and ordering and holding costs remain constant. This makes formula hard to use in case of seasonal changes of demand, inventory costs or lost sales revenue due to inventory shortages.
