Answer:
c. the entry of new firms
Explanation:
- The entry of the new firms in the market creating a market supply curves to shift to the right side and as the curve shifts the markets price then starts to decline with it
- This declines the economic profits in the new and the existing firms as long as the profits exists in the markets and entry will continue to shift to supply to the right.
- The diversification of the melt and the fall in the monopoly of the firms start to take place.
- They take up resource ownership and technological developments. In short, they increase the competitiveness and bring rivalry into the market.
The annual premium for Zack's house would be <u>cheaper</u> through <em>AAA </em>than <em>Thompson’s Insurance. </em>
<h3>How to calculate the annual premium of two companies? </h3>
AAA company is offering $0.36 per $100 of value.
Thompson company is offering $3.63 per $1,000 of value;

Hence, <u>0.363</u> is higher than 0.36, which makes <em>AAA company </em>more beneficial for insurance.
Learn more about premium calculation here:
brainly.com/question/2644714
Answer: 0.70; 0.30
Explanation:
Marginal propensity to consume(MPC) is the additional spending by an economic agent due to a rise in income while the marginal propensity to save is the additional saving by someone due to rise in income.
Increase in income = $3,000
Increase in spending = $2,100
Increase in savings = $3,000 - $2,100 = $900
MPC = $2,100/$3,000
= 0.70
MPS = $900/$3,000
= 0.30
Answer:
Cost of land = $220,400
Cost of building = $0
Explanation:
The computation of the land and the cost of the new building is shown below:
Cost of land = Purchase price + Real estate commissions + Legal fees + Expenses of clearing the land + Expenses to remove old building
= $194,000 + $16,900 + $2,700 + $3,900 + $2,900
= $220,400
The cost of the new building would be zero as all the costs are allocated to the cost of the land. So, no cost is allocated to the cost of the new building
Answer:
= 0.008
Explanation:
Base on the scenario been described in the question , to develop a p-chart, first calculate as shown below:
P bar= total number of defective units from all samples /(number of samples ×sample size)
= 100/(12×1000)
= 100/12000
= 0.008
Thus, the p bar is 0.008