Answer:
$65.85
Explanation:
Calculation for What should the offer price be
Using this formula
Offer price=(Preferred stock× Liquidating value)/Return
Let plug in the formula
Offer price = (0.054 × $100) / 0.082
Offer price=5.4/0.082
Offer price = $65.85
Therefore the offer price should be $65.85
Answer: Forecasting is exclusively an objective prediction.
Explanation: In simple words, the process of predicting any future event by analyzing the past data is called the forecasting. The factors that an analyst takes from the past could be both qualitative and quantitative.
The forecasting process is done for a specified period and not for infinity. In other words, it is the study of trends and predicting how these trends could change in the future.
Hence from the above we can conclude that the correct option is B.
Answer:
a. 863
Explanation:
Calculation for the order quantity
Order quantity = 75 x (10 + 2) + (1.64 x 8) - 50
Order quantity = (75 x 12) + (1.64 x 8) - 50
Order quantity= 900 + 13.12 - 50
Order quantity= 863.12
Order quantity = 863
Therefore the Order quantity will be 863
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%.
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