Answer:
a. - 3. an ideal randomized controlled experiment
b. - 2. an observational cross a sectional data set.
c. - 1. an observational time series data set.
d. - 4. an observational panel data set.
Explanation:
a. Choose a random group of employees to receive ten hours per week in additional training for a period of four weeks. Then, estimate the difference in productivity between workers who received the additional training and those that did not.
Option 3. an ideal randomized controlled experiment best describes this statement.
b. Data on hours spent on training a group of ten different employees in a certain day.
Option 2. an observational cross â sectional data set best describes this statement.
c. Data on hours spent on training the same employee for seven consecutive days.
Option 1. an observational time series data set best describes this
d. Data on hours spent training for a group of ten individual employees for seven consecutive days.
Option 4. an observational panel data set best describes this statement.
Answer:
The question that corresponds to this is
Explanation:
Brent called insurance companies and got insurance quotes for the three trucks. Both the 1996 Ford F150 and the 1998 Chevy 1500 were quoted for $250 and the 2000 Toyota Tundra was quoted for $245. To help Brent make his decision gather some more reliable information by using newspapers, or looking at their Web sites, and reviewing consumer magazines and Web sites. Also, look at the manufacturer Web site or www.fueleconomy.gov for information about gas mileage. List the sources you use and include the notes you take from each source.
I would say that one year from now he is likely to be destitute of the one million because he will most likely give a lot of it to family and friends and also pay off debts which most likely will leave very little disposable cash for him/herself.
Answer:
<u>Net Present Value: </u><em>362,855</em>
Explanation:
<u>First we need to calculate the WACC to know the required return of the project.</u>

Ke = 0.152 (0.137 cost of capital+ 0.015 subjective risk)
ER = 0.35 = E/(E+D)
Kd = 0.086
DR = 0.65 = D/(E+D)
t = 0.35

WACC 8.95350%
<u>Then we calcualte the net present value:</u>
<em>Present value of the cash flow</em>

C= 1,540,000
rate = 8.9535%
time 7 years

PV = 7,762,855
Present value of the cash flow - Investment = NPV
7,762,855 - 7,400,000 = 362,855
Probability gives all people a chance of being selected and makes results more likely to accurately reflect the entire population. That is not the case for non-probability. Probability sampling versus non-probability sampling for hotels can be a confusing concept for anyone carrying out survey research projects. Knowing some basic information about survey sampling designs and how they differ can help you understand the advantages and disadvantages of various approaches.
Probability gives all people a chance of being selected and makes results more likely to accurately reflect the entire population. That is not the case for non-probability.
In a perfect world you could always use a probability-based sample, but in reality, you have to consider the other factors affecting your results (availability, cost, time, what you want to say about results). It is also possible to use both different types for the same project.
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