Answer and Explanation:
The connection between Floor and Function Inspection is that these two techniques are used to eliminate and identify defective raw materials prior to the development of the same. Quality is the key priority for both processes, where standards are reviewed and evaluated to ensure that the operation continues correctly.
The distinction between the two is that in Floor Inspection the system inspects the material in process doe the machine or at the time of production to ensure that each and every machine or floor is working effectively. It is to make share the material processing costs don't go out or it could easily be found by hand and defect.
The Functional Inspection, on the other hand, will have the key feature tested which the product is supposed to perform. For instance, if the same has the right speed and output, the electric motor could be tested up. It doesn't inform us about the variability throughout all parts but gives us an overall view of the satisfaction that comes from investigating the same commodity.
Answer:
(B) multicollinearity is present.
Explanation:
Multicollinearity -
It is the process where , one of the predictor variable in the multiple regression model can be linearly predicted from the others with the substantial degree of accuracy , is known as multicollinearity or collinearity .
<u>In this case , the coefficient estimated of the multiple regression can change erratically for even a small change in the model .</u>
hence , from the question , the indication is of (B) multicollinearity is present .
Answer:
<u>Company's total inventory</u> 30,850
Camaras: 10,960
Camcorders: 8,850
DVDs: 11,040
Explanation:
<u>Camaras: </u>
cost: 10,960
net realizable value: 12,060
<u>Camcorders: </u>
cost: 8,850
net realizable value: 9,170
<u>DVDs: </u>
cost: 12,100
net realizable value: 11,040
<u>Company's total inventory</u>
10,960 + 8,850 + 11,040 = 30,850
We must pick between the historic cost or the net realizable value the lower. The reasoning behind this is the conservatism accounting principle to keep the assets valued at minimum.
Solution:
Let's start by assuming that the taxi ride demand is extremely elastic, to the extent that it is vertically sluggish! If the cabbies raise the fair price by 10% from 10.00 per mile to 11.00 per kilometre, the number of riders remains 20.
Total income before fair growth= 20* 10= 200.
Total income following fair growth = 11* 20= 220.
A 10% increase in the fare therefore leads to a 10% increase in the driver's revenue.
Therefore, the assumption in this situation is that the cab drivers think the taxi driving requirement is highly inelastic.
The demand curve facing the drivers of the cab is still inelastic, but not vertically bent.
When the rate increased from 10% to 11, riders declined from 20% to 19%
Total revenue before fair growth is 20* 10= 200
The gap between revenue and fair growth is 19* 11= 209
This means that a realistic 10% raise doesn't result in a 10% boost on income Because the market curve for taxi rides is not 100% inelastic, but rather low inelastic, so that a fair increase (control) allows consumers to lose their incomes.