Answer:
b. $301.10
Explanation:
Current Sales = P = $225,000,000
Growth rate = g = 6%
Number of year = 5 years
Using simple growth formula we will find the Sales value after 5 years.
Future Sales = Current Sale ( 1 + growth rate )^Number of years
A = P ( 1 + g )^n
A = 225,000,000 x ( 1 + 0.06 )^5
A = 225,000,000 x 1.33823
A = 301,101,750 = 301.10175 Million
So, the correct option is b. $301.10.
I would say that for most people, buying an apartment or a house would be the most major thing they could do that would affect their net worth. Initially it would be mostly a liability at first but as it appreciates, especially if it is in a big city where the population keeps growing then it most likely will appreciate and then the owner's assets will increase since their equity will increase.
Answer:
rework hope this helps :)
Explanation:
Answer:
The answers are:
A) Consulting revenue should be listed below the debited account as it is credited.
C) Accounts payable is not involved in this transaction.
D) The Consulting revenue account should be indented, as it is credited.
E) The correct account that should be debited is the Accounts receivable account.
Explanation:
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
