Answer:
The amount of Uncollectible Account Expense reported on the income statement will be: $ 64,800
Explanation:
Jumpin Corporation
Percent of Sales method
Net credit sales $ 2 100 000,
Un collectible estimated 3%
Un collectibles Accounts = 3% of $ 2 100,000, = $ 63,000
Unadjusted Allowance for Un collectible Accounts $ 1, 800 Dr.
Required Adjustment = $ 64,800
The amount of Un collectible Account Expense reported on the income statement will be: $ 64,800
In the percent of sales method emphasis is laid on the matching principle in the income statement and amount of bad debts expense is subtracted from the accounts receivables.
Answer:
$48,000
Explanation:
The computation of the total amount paid to the preferred shareholder is shown below:
= Number of preferred stock shares × par value × dividend rate × number of years
= 1,200 shares × $100 × 10% × 4 years
= $48,000
Simply we multiplied with the number of preferred stock with the par value, its dividend rate and the time period so that the correct value can come
All other information which is given is not relevant. Hence, ignored it
Answer:
$1,032
Explanation:
Calculation to determine What monthly rent must she charge for each apartment to break even
First step is to calculate the Monthly costs using this formula
Monthly costs = Mortgage payment + Real estate taxes + Insurance costs + Maintenance costs
Let plug in the formula
Monthly costs=$1,510 + ($2,304 / 12) + ($1,452 / 12) + [2 ×($1,446 /12)]
Monthly costs= $1,510 + 192+ 121 + 241
Monthly costs= $2,064
Now let calculate the Break-even monthly rent per apartment
Using this formula
Break-even monthly rent per apartment = Monthly costs / 2
Let plug in the formula
Break-even monthly rent per apartment = $2,064 / 2
Break-even monthly rent per apartment = $1,032
Therefore What monthly rent must she charge for each apartment to break even will be $1,032
Answer: Categorical
Explanation:
Categorical data refers to data that enables variables to be grouped into categories but in such a way that there is no ordering to the categories.
In this scenario, the cars will be grouped by their colors but these colors cannot be ordered by saying that red is higher than blue or yellow is higher than white. It is therefore Categorical data.
