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grigory [225]
3 years ago
7

One of the main tools used by economists to measure the actual distribution of income is

Business
1 answer:
Tcecarenko [31]3 years ago
8 0
Profit - Liabilities = Income
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After choosing among several computer server systems, the Director of Information Systems feels very positive about the final ch
Alekssandra [29.7K]

Answer:

confirmation bias

Explanation:

Confirmation bias is the tendency to search for, interpret, favor, and recall information in a way that confirms or strengthens one's prior personal beliefs or hypotheses. It is a type of cognitive bias.

3 0
3 years ago
Marie is putting together a retirement plan and is scheduled to retire in 40 years. She is planning to open a retirement account
kap26 [50]

Answer:

R=407.11$

Explanation:

Since the Marie wants to contribute equal amount per month in order to get the $3,000,000 after 40 years, therefore the future value of annuity formula shall be applied to the given question to solve the problem.

Future value of annuity=R[((1+i)^n-1)/i]

R=monthly investment to be made=?

n=number of payments involved=40*12=480

i= interest rate=10.5%/12=0.875%

Future value of annuity=$3,000,000

$3,000,000=R[((1+0.875%)^480-1)/0.875%]

R=407.11$

6 0
4 years ago
Jenny Jennarator Co has the motto of placing a Jenny in every home in a state receiving more than 12 inches of snow per year. Fa
goblinko [34]

Answer:

a. 19 units

b. $56,452

c. Facility B shall be chosen.

Explanation:

As for the provided information,

We have

Costs under facility A

Cost per generator = $1,300

Setting up cost = $22,500

Number of generators = 20

Costs under facility B

Cost per generator = $950

Fixed cost = $35,000

Number of generators = 42

Selling price of generator = $2,500

a. Break even point for Type A, in units

= \frac{Fixed\ cost}{Contrbution\ per\ generator}

Fixed cost = $22,500

Contribution per generator = $2,500 - $1,300(Variable cost) = $1,200

Break even point in units = \frac{22,500}{1,200} = 18.75

since units can not be in decimals, it will be 19 units.

b. For type B contribution margin in percentage shall be:

Selling price - variable cost = $2,500 - $950 = $1,550

Contribution margin = 1,550/2,500 = 62%

Break even in dollars = $35,000/62% = $56,451.61

c. If facility Q has fixed cost = $40,000

and unit cost = $800

contribution = $2,500 - $800 = $1,700

Thus, break even in units = $40,000/1,700 = 23.5 = 24 units

As the break even for facility b = $35,000/1,550 = 22.58 = 23 units

Thus, since facility B has least break even the facility B shall be chosen, as for facility A the break even is low but profit will not be there as maximum capacity is 20 units.

4 0
3 years ago
Turnbull Co. has a target capital structure of 58% debt, 6% preferred stock, and 36% common equality. It has a before-tax cost o
ioda

Answer:

Raising the Funds through Retained Earnings

WACC = Ke(E/V) + Kp(P/V) + Kd(D/v)(1-T)

WACC = 14.7(0.36) + 12.2(0.06) + 11.1(0.58)(1-0.40)

WACC = 5.292 + 0.732 + 3.8628

WACC = 9.89%

Raising New Equity

WACC = Ke(E/V) + Kp(P/V) + Kd(D/v)(1-T)

WACC = 16.8(0.36) + 12.2(0.06) + 11.1(0.58)(1-0.40)

WACC = 6.048 + 0.732 + 3.8628

WACC = 10.64%

Difference in WACC = 10.64% - 9.89%

                                  = 0.75%

Explanation:

WACC equals cost of equity multiplied by proportion of equity in the capital structure plus cost of preferred stock multiplied by proportion of preferred stock in the capital structure plus after-tax cost of debt multiplied by proportion of debt in the capital structure.

In this case, there is need to calculate WACC if funds were raised through retained earnings and WACC if funds were raised through new common stock. Then, we will determine the difference in WACC.

5 0
3 years ago
Customers exiting a bottleneck form a Poisson process with a stationary flow of 400 per hour. What is the expected amount of tim
Minchanka [31]

Answer:

Customer's (exit) = 0.03 minutes per person

Explanation:

Given:

Flow (Ф) = 400 per hour

Times = 5 times headway

Computation:

5 times Poisson Distribution = 400 per hour × 5 time

5 times Poisson Distribution = 2,000 persons

Computation of expected amount of time needed to observe one customer :

Customer's (exit) = 1 hour / 2,000 persons

Customer's (exit) = 60 minutes / 2,000 persons

Customer's (exit) = 0.03 minutes per person

3 0
3 years ago
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