This evidence will be called 'Note'
Answer: Compensating differentials.
Explanation:
Compensating differential is the additional amount of money that a worker is given in order to motivate the worker to accept an undesirable job. Compensating differentials is as a result of the risk of injury, risk of future unemployment, risk of unsafe environment and it explains why there is difference in pay between different regions
Even though Max and Eli have the same skill and are members of the same trade union, Max is paid higher than Eli because Max works in an area with high crime rate while Eli's area has a low crime rate. Thus, Max higher is expected because the cost of living is higher in a city and also due to higher crime rates which means he's likely to work mire than Eli.
The external research that would be useful would be research.
Research could be divided into direct and indirect.
Direct research is being done by directly ask the potential customer what they want (through things like questionnaire)
And indirect research is being done through observation (pay attention to the market trend)
This argument makes sense as some economists suspect that one of the reasons that economies in developing countries grow so slowly is that they don't have well-developed financial markets.
Why do economies in developing countries grow slowly?
The financial market is crucial for facilitating the flow of funds from individuals to investors to promote economic efficiency. It is exceedingly expensive and challenging to establish efficient financial markets in underdeveloped markets in emerging countries, which hurts economic growth.
What causes a country to grow faster than another country?
The labor force in nations having access to new technology and/or a wealth of research and development is frequently more productive than in nations without such access. Economic growth accelerates as productivity rises.
Learn more about financial markets: brainly.com/question/16623249
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Answer:
The test statistic t of the sample is -0.804.
There is sufficient evidence to ascertain that the average number of years of work experience of MBA applicants is less than 3 years.
Explanation:
Null hypothesis: The average number of years of work experience of MBA applicants is 3 years.
Alternate hypothesis: The average number of yet of work experience of MBA applicants is less than 3 years.
Test statistic (t) = (sample mean - population mean) ÷ sd/√n
sample mean = 2.57
population mean = 3
sd = 3.67
n = 47
t = (2.57 - 3) ÷ 3.67/√47 = -0.43 ÷ 0.535 = -0.804
Assuming a 5% significance level
degree of freedom = n - 1 = 47 - 1 = 46
The critical value corresponding to 46 degrees of freedom and 5% significance level is 2.013.
Conclusion:
Reject the null hypothesis because the test statistic -0.804 is less than the critical value 2.013.
The years of work experience of MBA applicants is less than 3.