Full Question:
Edwin is the HR manager at a customer care unit with approximately 1,000 employees. He wants to statistically analyze the service data to make the recruitment process more effective by identifying desirable and undesirable qualities of employees. Edwin observes a high positive correlation between the employees' ability to adapt and the turnaround time. However, he decides to avoid using this criterion when recruiting employees. Which of the following, if true, would MOST strengthen this decision to avoid the criterion
A) The statistical significance of the correlation was found to be sixty percent.
B) Another trait, honesty, had a higher correlation coefficient than employees' ability to adapt.
C) The sample size used by Edwin was significantly larger than what was required.
D) Multiple regressions were observed among the variables used for the analysis.
Answer:
The correct answer here is A)
Explanation:
The key to decision making using statistical research is <em>Statistical Significance. </em>This means that a statistically significant observation is probably true. In this case, the statistical significance of his findings is 60%.
Cheers!
Answer:
total payment will be $21,000.
Explanation:
The Payment at maturity will include, the Principle amount (amount borrowed) and the Interest that accrued over the period of the note payable.
<u>Total Payment Calculation :</u>
Principle amount = $20,000
Interest ($20,000 × 5%) = $1,000
Total Payment = $21,000
Answer:
The answer is letter C.
Explanation:
The statement that would need to be documented in a report is The Fujita-Pearson tornado scale rates tornadoes with wind speeds of 261 to 318 miles per hour as F5 storms.
Amount = $10000
Let us assume the principal = x
Amount of interest = 5%
Time = 5 years
Then
x (1 + i)^t = 10000
x(1 + 0.05)^5 = 10000
x(1.05)^5 = 10000
1.28x = 10000
x = 10000/1.276281
= 7835.26
From the above deduction, it can be easily concluded that the correct option among all the options that are given in the question is the second option or option "B".
Answer: A. Lowering the degree of operating leverage.
Explanation:
The degree of operating leverage measure how much the earnings from a project will change as a result of sales.
If you are worried about the cash flow forecasts, it would be best to lower the operating leverage so as to reduce the forecasting error associated with the project. If the operating leverage is high then a small change in sales could impact income in a relatively huge way. By reducing the DOL, the cashflow from the project is easier to forecast and therefore more reliable.
