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.
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hope I could help
<span>Maintenance workers have the most vague job description out of all the positions. Every other position has a detailed list explaining all of their duties. However, the maintenance position only lists one sentence of what their duties entail.</span>
Answer: Hello below is the complete question
A survey of entrepreneurs focused on their job characteristics, work habits, social activities, leisure time, etc. One question put to each entrepreneur was, "What make of car (U.S., Europe, or Japan) do you drive?" The responses (number in each category) for a sample of 100 entrepreneurs are summarized below. The goal of the analysis is to determine if the proportions of entrepreneurs who drive American, European, and Japanese cars differ.
U.S. Europe Japan
40 35 25
In order to determine whether the true proportions in each response category differ, a one-way chi-square analysis should be conducted. Suppose the p-value for the test was calculated to be p=0.1738 . What is the appropriate conclusion to make when testing at α = 0.10?
Answer : The conclusion to be drawn is that We cannot reject the Null hypothesis if we use a one-way chi square analysis because at α = 0.1 from the chi-square tabulated p-value = 0.584 while the calculated /given p-value is = 0.1738
Explanation:
Data given:
p-value = 0.1738
α = 0.10
sample size = 100
U.S cars = 40, Europe cars = 35, Japan cars = 25
The conclusion to be drawn is that We cannot reject the Null hypothesis if we use a one-way chi square analysis because at α = 0.1 from the chi-square tabulated p-value = 0.584 while the calculated /given p-value is = 0.1738
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