<span>Contingency tables are the most common way of showing both marginal and conditional distributions. Reading them is quite easy and intuitive, and often the graphical part of the analysis is left at that. Taking a step further, one can translate the table into a chart: it is advised to use a bar chart to effectively show the data</span>
Answer:
Option (a) $372.60
Explanation:
Data provided in the question:
Number of days during which the seller occupied the house = 136 days
Estimated cost for the entire year = $1,000
Now,
The period of time during which the seller occupied the house in years
= Number of days during which the seller occupied the house ÷ Total number of days in a year
= 136 ÷ 365
= 0.37260
Therefore,
The amount that the buyer will be credited = 0.37260 × $1,000
= $372.60
Answer:
I used an excel spreadsheet since there is not enough room here. I ordered the given data:
Fixed Variable Actual Total
Revenue $276 $33,130
Technician wages $8,300 $8,150
Mobile lab operating exp. $5,000 $34 $9,260
Office expenses $2,500 $3 $2,740
Advertising expenses $1,570 $1,640
Insurance $2,850 $2,850
Miscellaneous expenses $970 $2 $535
The answer is contingency design. It is the sum incorporated into a development spending plan to take care of extra expenses for conceivable outline changes. The measure of possibility fluctuates with the phases of outline. As the plan is finished, the possibility ought to be diminished to almost zero for most school ventures.
Answer:
A) the demand for peanuts is inelastic
Explanation:
Since in the question it is given that the price of peanuts is fall fro $3 to $2 per bushel which shows the decreased in price while at the same time the revenue received is also decreased from $16 to $14 that results in demand for peanuts is inelastic
As we know that
Inelastic = When elasticity is less than one
So in the given case since the price and revenue received is decrease therefore the demand is inelastic