Answer:
Explanation:
The journal entry to record the note payable at discount
Cash A/c Dr $497,000
Discount on Note payable A/c Dr $12,000
To Note Payable A/c $509,000
(Being the note payable is recorded at discount)
Now we know that the discount is for 3 months but we have to calculated for 2 months only i.e from November 1 to December 31
So, the discount would be
= $12,000 × 2 months ÷ 3 months
= $8,000
And the journal entry is
Interest Expense A/c Dr $8,000
To Discount on Note payable A/c $8,000
(Being the interest expense is recorded)
B) unlike inventory, are often worth their face value.
C) appreciate over time due to interest and penalties.
D) are not a significant consideration when buying anexisting business
Answer:
The correct answer is letter "A": are rarely worth their face value.
Explanation:
Accounts receivables are notes issued to customers after selling them a product or rendering services on credit. The repayment term may vary from 30, 60 or 90 days. If an account receivable is not paid after that period it could be considered as an uncollectible account which implies the company will incur losses.
Accounts receivable are hardly ever accepted at face value (real value of the moment of the purchase) because companies add the interest rate that is to be charged for the sale on the account.
b) false
Learning curves are indeed useful for measuring work improvement in repetitive, simple tasks. They represent worker improvement in efficiency and reduction in mistakes over time, as these tasks are completed on a repetitive basis.
The statement, 'Learning curves are useful for measuring work improvement for repetitive, simple jobs requiring short times to complete', is true. A learning curve is a concept that represents improvement in efficiency of production as workers increase in skill through repetition of tasks. This concept is often used in business and economics to measure work improvement, particularly for jobs that are simple and repetitive in nature. For instance, when an assembly line worker repeats the same task over and over, they typically become faster and make fewer mistakes over time, thus increasing productivity.
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Answer: $150
Explanation:
Transportation/ Freight charges as well as the credit memo are not to be included when calculating the discount so;
= 27,000 - 2,000 - 10,000
= $15,000
Terms of 1/10 n/30 means that the sale is subject to a 1% discount if it is paid for in 10 days.
The discount therefore is;
= 15,000 * 1%
= $150
Answer:
Interest= $90
Explanation:
Giving the following information:
Initial investment= $3,000
i= 3%
Number of periods= 1
First, we need to calculate the future value, using the following formula:
FV= PV*(1+i)^n
FV= 3,000*1.03= $3,090
Now, the interest earned:
Interest= 3,090 - 3,000
Interest= $90
$2,000 unfavorable.
$2,000 favorable.
$8,000 favorable.
$6,000 unfavorable.
Answer:
The correct answer is B.
Explanation:
Giving the following information:
At the normal capacity of 16,000 units, budgeted manufacturing overhead is $64,000 variable and $180,000 fixed. If Chambers had actual overhead costs of $250,000 for 18,000 units produced.
Variable overhead rate= 64,000/16,000= $4
Overhead variance= real - allocated
Overhead variance= 250,000 - (4*18,000 + 180,000)= 250,000 - 252,000= 2,000 favorable
B. 10.09%
C. 3.68%
D. 3.76%
The standard deviation for monthly returns on company A is approximately 8.03%
To calculate the standard deviation of monthly returns, we need to first calculate the monthly returns for the three months of observation. We can do this by using the formula:
Monthly Return = (Current Price - Purchase Price) / Purchase Price
For July 1:
Monthly Return = ($45.19 - $40.97) / $40.97 = 0.103 or 10.3%
For August 1:
Monthly Return = ($49.75 - $40.97) / $40.97 = 0.2143 or 21.43%
For September 1:
Monthly Return = ($51.58 - $40.97) / $40.97 = 0.2589 or 25.89%
Next, we need to calculate the average monthly return (R) over the three months:
R = (10.3% + 21.43% + 25.89%) / 3 = 19.2%
Now, we can calculate the standard deviation (σ) of the monthly returns using the formula:
σ = √ [(Σ (Ri - R)^2) / (n - 1)]
where Ri is the return for the ith month, and n is the number of observations (in this case, n = 3).
Plugging in the values, we get:
σ = √[((10.3% - 19.2%)^2 + (21.43% - 19.2%)^2 + (25.89% - 19.2%)^2) / (3 - 1)]
= √[(94.86 + 3.62 + 35.37) / 2]
= √[(133.85) / 2]
= 8.03%
Learn more on standard deviation here;
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