Answer:
The controllable variance for the month was $1,709 unfavorable
Explanation:
Controllable variance: The controllable variance show a difference between actual overhead expenses incurred and budgeting operating level based on direct labor hour.
In mathematically,
Controllable variance = Actual overhead expenses - budgeting operating level based on direct labor hour
where,
Actual overhead expenses = $11,227
And, budgeted operating level based on direct labor hour
= budgeted operating level × direct labor per hour
= 6,160 × $2.10
= $12,936
Now, put these values on the above formula:
So,
Controllable variance = $11,227 - $12,936 = $1,709 unfavorable
Hence, the controllable variance for the month was $1,709 unfavorable
Answer:
The required adjusting entry would be to debit the Interest <u>expense</u> account and <u>credit</u> the Interest<u> </u><u>payable</u> account.
Explanation:
The number of days that a loan debt stays unpaid is referred to as the outstanding number of days.
In line with the general accounting rules, all expenses must be debited. Therefore, the interest expense has to be debited.
Interest payable, however, is the amount owed to a lender by a firm and is thus credited as the matching journal entry to the interest expense.
Therefore, we have:
The required adjusting entry would be to debit the Interest <u>expense</u> account and <u>credit</u> the Interest<u> </u><u>payable</u> account.
Answer:
The correct answer is: $1715,87
Explanation:
To calculate the present value you need to use the Net Present Value. The NPV is the difference between the present value of cash inflows and the present value of cash outflows over a period of time.
The formula is:
n
<h3>NPV= ∑ [Rt/(1+i)^t] - I0</h3>
t-1
where:
R t =Net cash inflow-outflows during a single period t
i=Discount rate of return that could be earned in alternative investments
t=Number of timer periods
<u>In this exercise:</u>
NPV= 0+ 250/1,10^1 + 400/1,10^2 + 500/1,10^3 + 600/1,10^4 + 600/1,10^5
<u>NPV= $1715,87</u>
Answer:
The answer is below
Explanation:
Probability distribution are statistical function that shows all the possible outcomes of a random variable within a given range of values.
a) The mean (
) of a probability distribution of a discrete random variable is:
![\bar x=\Sigma\ [xP(x)]](https://tex.z-dn.net/?f=%5Cbar%20x%3D%5CSigma%5C%20%5BxP%28x%29%5D)
= (0 * 0.8) + (1 * 0.15) + (2 * 0.04) + (3 * 0.01) = 0.26
b) The standard deviation (σ) of a probability distribution of a discrete random variable is:
![\sigma=\sqrt{ \Sigma\ [(x-\bar x)^2*P(x)]}\\\\\sigma=\sqrt{(0-0.26)^2*0.8+(1-0.26)^2*0.15+(2-0.26)^2*0.04+(3-0.26)^2*0.01} \\\\\sigma=0.577](https://tex.z-dn.net/?f=%5Csigma%3D%5Csqrt%7B%20%5CSigma%5C%20%5B%28x-%5Cbar%20x%29%5E2%2AP%28x%29%5D%7D%5C%5C%5C%5C%5Csigma%3D%5Csqrt%7B%280-0.26%29%5E2%2A0.8%2B%281-0.26%29%5E2%2A0.15%2B%282-0.26%29%5E2%2A0.04%2B%283-0.26%29%5E2%2A0.01%7D%20%5C%5C%5C%5C%5Csigma%3D0.577)
A person may choose to rent instead of buying a property as they can't afford a down payment
