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2 years ago

Which of these is a variable expense?

Business

2 answers:

Anarel [89]2 years ago

6 0

The variable expense among these expenses is <u>D. entertainment.</u>

<h3>What is a variable expense?</h3>

A variable expense is an expense that changes based on the units or the number of times it is incurred in a period.

For example, entertainment expenses can be fixed per unit, to some extent, however, the total amount is not fixed but variable.

Variable expenses can be differentiated from fixed expenses, while some expenses (semi-fixed costs) combine the elements of variable and fixed expenses.

Thus, payments for car insurance, car, and yearly rent are fixed expenses, but entertainment is a variable expense.

Learn more about the nature of costs at brainly.com/question/15684424

borishaifa [10]2 years ago

3 0

Answer:

Entertainment.

Explanation:

The other expenses are fixed expenses.

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Gerritt wants to buy a car that costs $30,750. The interest rate on his loan is 5.65 percent compounded monthly and the loan is

svet-max [94.6K]

Answer:

$444.07

Explanation:

EMI = [P * I * (1+I)^N]/[(1+I)^N-1]

P =loan amount or Principal = 30750

I = Interest rate per month = .0565/12

N = the number of installments = 7*12 = 84

EMI = [30750*.0565/12* (1+(.0565/12))^84]/[(.0565/12))^84-1]

EMI = [30,750 * 0.0565 / 12 * 1.48374877204] / [1.48374877204 - 1]

EMI = 214.819001902 / 0.48374877204

EMI = $444.07

7 0

2 years ago

Dawson Toys, Ltd., produces a toy called the Maze. The company has recently established a standard cost system to help control c

svlad2 [7]

Answer:

1. a. The materials price and quantity variances

Material price variance: Standard cost per micron is $1.50 and actual cost per micron is $1.48. So, price variance is 1.48 - 1.5 = $(0.02) per micron

Quantity variance: Based on standard bill of material, Dawson Toys need 3,000 x 6 = 18,000 microns to produce 3,000 Maze toys. Actual consumption volume is 25,000 - 5,000 = 20,000 microns. So, quantity variance is 20,000 - 18,000 = 2,000 microns.

1. b. The labor rate and efficiency variances

Actual labor rate = Actual labor cost / Actual hour = 88,000/4,000 = $22 per hour.

Efficiency variance = Actual labor rate - Standard labor rate = 22 - 21 = $1 per hour.

2. Prepare a brief explanation of the possible causes of each variance.

Direct material cost variance: Total actual material cost is 20,000 x 1.48 = $29,600, higher than standard material cost of 18,000 x 1.5 = $27,000. This is mainly due to higher production waste as compared to standards.

Direct labor cost variance: Total actual labor cost is $88,000, higher than standard labor cost of 4,000 x 21 = $84,000. This is mainly due to lower labor rate per hour than expected.

Explanation:

5 0

2 years ago

The management of Penfold Corporation is considering the purchase of a machine that would cost $270,000, would last for 5 years,

Lorico [155]

Answer:

The correct answer is B.

Explanation:

Giving the following information:

Initial investment= $270,000

Cash flow= $60,000

Number of years= 5

Discount rate= 12%

<u>To calculate the net present value (NPV), we need to use the following formula:</u>

NPV= -Io + ∑[Cf/(1+i)^n]

∑[Cf/(1+i)^n]:

Cf1= 60,000/1.12= 53,571.43

Cf2= 60,000/1.12^2= 47,831.63

.....

Cf5= 60,000/1.12^5= 34,045.61

∑[Cf/(1+i)^n]= 216,286.57

NPV= -270,000 + 216,286.57

NPV= -53,713.43

5 0

2 years ago

Suppose you are an operations manager for a plant that manufactures batteries. Give an example of how you could use descriptive

Tatiana [17]

Please find full question attached

Answer:

Inferential statistics

Descriptive statistics

inferential statistics

descriptive statistics

Descriptive statistics

Inferential statistics

Explanation:

Descriptive statistics describes data and gives us a picture of what the data summary looks like using such things as mean and central tendency measures. Inferential statistics on the other hand aims to make predictions using the data based on data analysis such as collecting sample from population and constructing hypotheses to estimate outcomes for the general population. Example in the question, the first is inferential statistics as we make generalized predictions on batteries using data samples from the population of batteries of a particular type.