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:
is as request to access data from as database to manipulate it or retrieve it
Answer:
salespeople personally call on business customers to a far greater extent than they do consumers.
Explanation:
Business to business (B2B) markets differ from Business to consumers (B2C) markets because salespeople personally call on business customers to a far greater extent than they do consumers.
Under the B2B sells its products directly to other businesses such as wholesalers or retailers and not the end consumers.
On the other hand, the B2C market involves businesses selling their goods and services directly to the end consumers or users for personal use.
Answer:
Coverage E - Additional Living Expense
Explanation:
Based on the scenario being described within the question it can be said that this individual has a Coverage E - Additional Living Expense. This is an insurance coverage that covers the home-owner with compensation when they they are not able to live in their house due to an loss or a claim which is insured. Such as damage due to fire, like in this scenario which made the house uninhabitable.