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:
The cost of goods sold is $68970
Explanation:
The cost of goods sold is the cost of inventory that a company sells in a partcular period.
The cost of goods sold can be calculated as,
Cost of Goods sold = Opening inventory + Purchases - Closing Inventory
Cost of Goods Sold = 16500 + 71500 - 19030 = $68970
So many! Failing is the main one and losing everything
I believe the answer is B! Let me know if I am right:)
Answer:
The correct answer is A that is late start date.
Explanation:
Late start date is the filed which comprise of the latest date on which a task could be started without delaying the finish of the project.
The date is grounded on the date when the task is started and also on the late start of the task, late finish dates of the tasks predecessor and the successor as well and also on other constraints.
So, the late start date for the activity is the latest possible time.