Answer:
The correct answer is Data Inconsistency.
Explanation:
Data inconsistency refers to the omission or outdated information of a person due to various causes. On the one hand, when data that do not correspond to reality are presented in order to hide the identity or carry out illegal activities; and on the other, the non-update of data that currently differ from the past. Companies normally request information constantly, in order to reduce the inconsistencies of the previously reported data.
Answer:
$510
Explanation:
Calculation for By how much do excess reserves change
Using this formula
Change in excess reserve= Bank Deposits-(Reserve requirement*Deposit)
Let plug in the formula
Change in excess reserve=$600-($600*15%)
Change in excess reserve=$600-$90
Change in excess reserve=$510
Therefore By how much do excess reserves change is $510
Yes, it is fair. Younger people (Below 18) need to focus more on school. Work can take their attention off of school. And without school they wont be able to get a better job. Plus younger people can only work part time due to child labor. Most workers below 18 also have parents that's job is to feed and care for them, which means they do not even need to work until they are over 18. most people that work under the age of 18 is just for the fact of having money, not because they need it to live.
Answer:
It is more profitable to continue processing the units.
Explanation:
Giving the following information:
Product A:
Units= 23,000
Selling price= $420,000
Continue processing:
Product B= 6,000 units sold for $106 each
Product C= 11,900 units sold for $52 each
Total cost= $280,000
We need to calculate the effect on the income of both options and choose the most profitable on<u>e. We will not take into account the first costs of Product A because they are irrelevant.</u>
Option 1:
Effect on income= $420,000
Option 2:
Effect on income= (6,000*106) + (11,900*52) - 280,000
Effect on income= $974,800
It is more profitable to continue processing the units.
Answer:
The standard deviation of the returns on the stock is 15.56%(Approx).
Explanation:
Expected Return=Respective return*Respective probability
=(20.4*0.67)+(-12.7*0.33)=9.477%
probability Return probability*(Return-Expected Return)^2
0.67 20.4 0.67*(20.4-9.477)^2=79.93899243
0.33 -12.7 0.33*(-12.7-9.477)^2=162.3003786
Total=242.239371%
Standard deviation=[Total probability*(Return-Expected Return)^2/Total probability]^(1/2)
=15.56%(Approx).
