Including the <u>testing of hypotheses</u>
<h3>
What are Testing Hypotheses?</h3>
In statistics, hypothesis testing is the process by which a population parameter assumption is put to the test. Depending on the type of data used and the goal of the research, the analyst will choose a certain approach.
Utilizing sample data, hypothesis testing is a method used to determine whether a hypothesis is tenable. Such information could originate from a bigger population or a data-generating process. In the following descriptions, "population" will be used to refer to both of these scenarios.
A statistical sample is tested by an analyst during hypothesis testing with the aim of demonstrating the plausibility of the null hypothesis.
By measuring and reviewing a representative sample of the population under study, statistical analysts can evaluate a theory. Every analyst employs a random population sample to test the null hypothesis and the alternative hypothesis.
A null hypothesis may declare, for instance, that the population means the return is equal to zero. The null hypothesis is typically an equality hypothesis for population parameters. A null hypothesis is effectively the opposite of the alternative hypothesis (e.g., the population means the return is not equal to zero). They cannot both be true because they are mutually exclusive.
Therefore, one of these two hypotheses will be true.
For more information on the Hypothesis, refer to the given link:
brainly.com/question/13025783
#SPJ4
Answer:
best represents the return on capital is 12.5 %
Explanation:
given data
operating income = $1,000,000
total capital = $8,000,000
to find out
best represents the return
solution
we find return by given formula that is
return = 
.............1
put here value
return = 
return = 0.125
so best represents the return on capital is 12.5 %
Answer:
Instructions are listed below.
Explanation:
Giving the following information:
Cash flows= $8,000
Grow at a rate of 4% per year indefinitely.
We need to find the present value using the following formula:
Present Value= periodic payment/ (i - g)
i= interest rate
g= growth rate
A) Interest rate= 15%
PV= 8,000/ (0.15 - 0.04)= $72,727.27
B) i= 13%
PV= 8,000/ (0.13 - 0.04)= $88,889
Answer:
Productivity is measured by the amount of output per unit of input.
In this case, the inputs will be the hours spent doing research and writing their essays. Output will equal the amount of pages written.
Marci spent 8 hours and wrote a 26 page long report, so her productivity = 26 pages / 8 hours = 3.25 pages per hour
Jack spent 20 hours and wrote a 26 page long report, so his productivity = 26 pages / 20 hours = 1.3 pages per hour
Marci is much more productive in terms of hours spent doing and writing, and how long the report is.
The problem with this type of analysis is that we do not know if Marci's report was good or bad, and the same applies to Jack's. Since we do not know what grade they got, we cannot be sure how effective their work was.
when hilton hotels hired ross klein and amar lalvani from starwood hotels, klein and lalvani took many electronic documents with them from starwood. what they did was simply good business and presented no ethical problems.
This problem is a False Statement.
What is ethical problems?
An ethical problem, also known as a moral problem or ethical paradox, arises when a person must choose between two possibilities, none of which are wholly ethically acceptable.
Therefore,
This problem is a False Statement.
To learn more about ethical problems from the given statement:
brainly.com/question/17426643
