Answer:
2016: $300 million; 40%; $60 million
2017: $450 million; 60%; $90 million
Explanation:
Total costs:
= Costs incurred in 2016 + Costs incurred in 2017
= $240 + $360
= $600
In 2016:
Percent of total excepted costs:
= Costs incurred in 2016 ÷ Total costs
= $240 ÷ $600
= 0.4 or 40%
Revenue recognized:
= Percent of total excepted cost × Contract price
= 0.4 × $750 million
= $300 million
Income = Revenue recognized - Costs incurred in 2016
= $300 million - $240 million
= $60 million
In 2017:
Percent of total excepted costs:
= Costs incurred in 2017 ÷ Total costs
= $360 ÷ $600
= 0.6 or 60%
Revenue recognized:
= Percent of total excepted cost × Contract price
= 0.6 × $750 million
= $450 million
Income = Revenue recognized - Costs incurred in 2017
= $450 million - $360 million
= $90 million
Answer:
substitution and income effects will counteract each other totally
Explanation:
A labor supply curve is an economic analysis tool that shows the number or workers that are available to work or that can work at various wage rates.
The labor supply curve can either be bending backwards or sloping downwards or upward curving but it shows the relationship between labour and wage rates.
A labor supply curve can be affected by factors such as population, changes in social behaviour, opportunities in other markets, among other things.
From the above question, it is seen that a change in wage rate for Anthony from $25 to $29 does not affect his work hours positively of negatively. His work hours is the same despite the increase in hourly wage.
The effect of the Anthony sticking to 40 hours of work despite an increase in wage, which could have served as some motivation for him to put in more hours is his labor curve remains same. An increase in wage has done noting to affect the number of hours he works and as such his income vs work rate counters each other.
Cheers.
Answer:
don't know about Nepal but a lot of scope in india
<u>Answer</u>:
<u>No</u>
Explanation:
Remember, that as used in statistics the Confidence intervals <em>only</em> ascertain the extent to which a sample is uncertainty or certainty, that is, the student report of a 90% confidence interval is just a probability the university population of men and women surveyed would fall under this range of value (minus 150,30).
Therefore, it cannot be concluded that mu(women) is higher than mu(men.
