Answer:
The answer is below;
Explanation:
b. Allowance for Doubtful Accounts Dr.$4,000
Bad Debts Cr.$4,000
c. Bad Debt Expense Dr.$5,000
Account Receivable Cr.$5,000
d. 1)Account Receivable Dr.$5,000
Bad Debt Expense Cr.$5,000
2)Cash Dr.$5,000
Account Receivable Cr.$,5000
Answer:
a. A taxable dividend of $15,000
Explanation:
The relevant variables are the friar market value and the tax liability on the land.
The fair market value is the amount at which an asset or a company will be exchanged between a knowledgeable willing seller and a knowledgeable willing seller in an ordinary transaction in the market. Put simply, the fair market value of an asset gives an estimation of the price that a buyer would pay to the owner of the asset if the owner decides to sell the asset.
When a company distributes an asset as a dividend to the owner, any liability taken over on the assets will be deducted from the fair market value of the asset to arrive at the taxable dividend.
From the question, the $55,000 tax liability assumed by Troy will be deducted from the fair market value of the asset to obtained the taxable dividend as follows:
Taxable dividend = Fair market value - Tax liability on the land
= $70,000 - $55,000
= $15,000
Therefore, the taxable dividend is $15,000.
Answer:
Direct material quantity variance= $6,300 unfavorable
Explanation:
Giving the following information:
Direct materials 2 grams $7.00 per gram
The company produced 4,600 units in January using 10,100 grams of direct material.
<u>To calculate the direct material quantity variance, we need to use the following formula:</u>
Direct material quantity variance= (standard quantity - actual quantity)*standard price
Direct material quantity variance= (2*4,600 - 10,100)*7
Direct material quantity variance= $6,300 unfavorable
If I'm correct-- by outdoor advertising do you mean commercials and ads encouraging people to go outside?
Answer: Matched pairs design
Explanation:
A matched pairs design is a type of study used when 2 treaments are present in an experiment. The individuals in the design can be divided into pairs using a blocking variable, and each pair can then be allocated to treatments at random. This is thus a special type of randomized block design.
In this case the blocking variable can be the various urban areas as 1968 is matched against 1972. Each city can be compared based on 2 measurements. From their each individual can be grouped into pairs and allocated to different treatments.
