Credit cards Because if your not carful you may end up owing a lot of money
Answer:
increased measured GDP by the full value of the restaurant meals.
Explanation:
Gross domestic product is the sum of all final goods and services produced in an economy within a given period which is usually a year.
GDP calculated using the expenditure approach = Consumption spending + Investment spending + Government Spending + Net Export
Some items are not included in the calculation of GDP. Some of these items are :
1. Services rendered to ones self
2. Intermediate goods
3. Illegal activities
4. Transfer payment by government.
Households cooking at home is an example of services rendered to ones self and it is not included in the calculation of GDP.
While services rendered by resturants are included in the GDP through consumption spending by households.
So if families decide to eat more at resturants, GDP is increased by the full value of resutrant meals.
I hope my answer helps you
Calculation of amount of actual sales (dollars):
Step-1: Calculation of break-even in sales dollars:
Break-even in sales dollars = Fixed costs / (100%- Variable Cost %)
Break-even in sales dollars = 1875000 /(100%-80%)
Break-even in sales dollars = 1875000 /20%
Break-even in sales dollars = $9,375,000
Step-2: Calculation of actual sales:
Actual Sales = Break-even in sales dollars / (100% -Margin of safety %)
Actual Sales = 9375000 /(100%-20%)
Actual Sales = 9375000 /80%
Actual Sales = $11,718,750
Hence, the Amount of actual sales (dollars) is $11,718,750
Answer:
80%
Explanation:
The capacity utilization rate evaluate the proportion of potential economic output that is actually realized.
To solve for theoretical utilization, we use the following formula as given below;
Theoretical Utilization = {p/(ma)}×100
Where we have our variables as,
p=16
m=4
a=5
Imputing variables into the formula we have
Theoretical utilization = {16÷(4×5)}×100
= {16/20}×100
=0.8×100
=80%
Answer:
0.00914 ; 0.0062 ; 0.9847
Explanation:
Given the following :
Normal distribution :
Mean(m) = $4200
Standard deviation (sd) = 720
Amount VERY low = < 2500
Amount very high = > 6000
a. What percent of the days will the bank be notified because the amount dispensed is very low?
x < 2500
Finding the z-score :
Z = (x - mean) / standard deviation
Z = (2500 - 4200) / 720
Z = - 1700 / 720 = −2.361111
P(z < −2.361111)
Locating −2.361111 on the z- distribution table
-2.3 under 0.06 = 0.00914
P(z < −2.361111) = 0.00914
B) What percent of the time will the bank be notified because the amount is very high?
x > 6000
Finding the z-score :
Z = (x - mean) / standard deviation
Z = (6000 - 4200) / 720
Z = 1800 / 720 = 2.5
P(z > 2.5)
Locating 2.5 on the z- distribution table = 0.9938
P(z > 2.5) = 1 - 0.9938 = 0.0062
c. What percent of the time will the bank not be notified regarding the amount of funds being dispensed?
P(2500 < X < 6000)
P(2500 < X < 6000)
P(-2.36 < z < 0) + P(0 < z < 2.5)
= 0.4909 + 0.4938
= 0.9847