Answer:
The cost of opportunity is 4 pancakes.
Explanation:
The cost of opportunity is by definition the amount of things you don't do or buy, because of choosing doing or buying something else. In this case, Maria can make:
This means that at every moment, she can choose to make or 8 pancakes or 2 waffles, but not both. If we continue with this logic, in the time she could make 1 waffle, she could have chosen to make 4 pancakes. This is her cost of opportunity.
Answer:
$33,630
Explanation:
Given that the company's collection history shows that 43% of credit sales are collected in month of sale and the remainder (57%) is collected in the following month then, in the month of January, Cash collections in January from December credit sales would be equivalent to 57% of December Credit sales. Using the actual figures,
Cash collections in January from December credit sales would be
= 57% * 59,000
= $33,630
Answer:
The cost of equity is 9.91%
Explanation:
The constant growth model of the DDM is used to calculate the price of the share or the fair value per share based on a constant growth in dividends and the required rate of return which is also known as cost of equity.
Plugging in the available values in the formual we can calculate the cost of equity or the required rate of return.
73.59 = 4.57 / (r - 0.037)
73.59 * (r - 0.037) = 4.57
73.59r - 2.72283 = 4.57
73.59r = 4.57 + 2.72283
r = 7.29283 / 73.59
r = 0.0991 or 9.91%
Based on the percentage of readers who own a particular make of the car and the random sample, we can infer that there is sufficient evidence at a 0.02 level to support the executive claim.
<h3>What is the evidence to support the executive's claim?</h3>
The hypothesis is:
Null hypothesis : P = 0.55
Alternate hypothesis : P ≠ 0.55
We then need to find the test statistic:
= (Probability found by marketing executive - Probability from publisher) / √( (Probability from publisher x (1 - Probability from publisher))/ number of people sampled
= (0.46 - 0.55) / √(( 0.55 x ( 1 - 0.55)) / 200
= -2.56
Using this z value as the test statistic, perform a two-tailed test to show:
= P( Z < -2.56) + P(Z > 2.56)
= 0.0052 + 0.0052
= 0.0104
The p-value is 0.0104 which is less than the significance level of 0.02. This means that we reject the null hypothesis.
The Marketing executive was correct.
Find out more on the null and alternate hypothesis at brainly.com/question/25263462
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Answer:
The selling price is $99
Explanation:
The selling price of the product can be computed by adding required profit margin to the unit cost of the product.The required profit margin is the 10% return on invested assets.
Total variable cost $59*10000 =$590,000
Fixed expenses ($180,000+$60,000) =$240,000
desired profit margin(10%*$600,000) =$60,000
Total sales revenue =$990,0000
price per unit=$990,000/10000=$99
The cost-plus approach to product pricing gives $99
