Answer:
C. biased, understating the effectiveness of the diet.
Explanation:
As the company promises the population of America which is too huge, just on the study based on 20 employees of the company itself.
This clearly means that the company is trying to sell the product with false reports as the sample size of study is to small to represent entire American Population.
Further that too the employees could be influenced to get the false results.
As since the employees could be influenced and that the results can be altered accordingly, the report is biased, and is misleading.
Answer:
It is called a "House Location" Survey, which is also sometimes called a "drive-by" survey, and its goal is to show the location of the house and other large structures on the property, as well as the orientation of those structures in relation to each other.
Answer:
Total sales variance $87,340 Favorable
See report below
Explanation:
The sales budget for the month of June would like as follows:
Budgeted Sales
Product units Price Total($)
A 40,000 $7 280,000
B 39,000 $9 351,000
Actual sales
Product units Price Total($)
A 39,000 $7.10 276,900
B 49,600 $8.90 441440
Sales Budget Report for the month of June 2019
Budget Actual Variance ($)
A 280,000 276,900 3,100 Unfavorable
B 351,000 441,440 <u>90,440 </u>favorable
Total sales variance <u> 87,340 Favorable</u>
Answer:
$77.34
Explanation:
The computation of the current stock price is shown below:
But before that following calculations need to be done
EPS for year 2 = Dividend at year 2 ÷ Payout Ratio
= $1.96 ÷ 0.40
= $4.90
Now the price at year 2 is
Price at year 2 ÷ EPS at year 2 = PE ratio
Price at year 2 ÷ $4.90 = 18.95
Price at year 2 = $92.855
Now finally the current stock price is
= Dividend at year 1 ÷ (1 + rate of interest) + Dividend at year 2 ÷ (1 + rate of interest)^2 + Price at year 2 ÷ (1 + rate of interest)^2
= $1.81 ÷ 1.119 + $1.96 ÷ 1.119^2 + $92.855 ÷ 1.119^2
= $77.34
Answer:
Is irrelevant in decision making
Explanation:
Since the suck cost is the cost that no longer is recovered so it should not be a factor to consider when making a decision. For example, you have bought a cinema ticket for this evening, but it is heavily rainy so you may get sick if you go to the cinema. The fact that you have paid for this ticket should not consider whether to go or stay home since you can not get this amount of money no matter what happens.
