Answer:
0.69
Explanation:
Given that we have the formula for calculating income elasticity of demand as the percent change in quantity demanded divided by the percent change in income, hence, we have the percent change in quantity demanded => 13 - 12 = 1 ÷ 12 = 0.083
the percent change in income => 280 - 250 = 30 ÷ 250 = 0.12
Therefore we have => 0.083 ÷ 0.12 = 0.69
Hence, the final answer is 0.69
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: C. is unreliable.
Explanation:
Kevin has signed the purchase agreement at fair price with good quality. However, the products arrived one month late which disrupted the production, it made Kevin feels that the <u>supplier is unreliable</u> because of the <em>unscheduled delay of steel frames</em>.
The formula is
I=prt
I interest paid 1120
p principle 32000
T time 4/12
R annual percentage interest rate?
Solve for r
R=I÷pt
R=1,120÷(32,000×(4÷12))
R=0.105×100
R=10.5%
