Answer:
Diluted earnings per share is $1.7 per share
Explanation:
The number of diluted shares from the options is calculated thus
Total number of shares from options 34,500
Actual number of shares that can be purchased
(options shares*option price/share market price)
(34,500*$11/$15) (25,300)
Diluted shares 9,200
Diluted earnings per share=net income/(outstanding common stock + diluted common stock)
net income is $331,840
outstanding common stock is 186,000
diluted common stock is 9200
diluted earnings per share=$331,840/(186,000+9200)
=$1.7 per share
Answer: The Break-Even Point will reduce from $4,285.71 to $4,125
Explanation:
To get the Break-Even Point we can divide Fixed Assets by the Contribution margin.
The Contribution Margin is the Selling Price minus the Variable Cost.
For Scenario 1 the Break-Even Point will be,
= 15,000 / ( 6 - 2.50)
= $4,285.71
For Scenario 2 the Break-Even Point is,
= 16,500 / 6.5 -2.5
= $4,125
The Break-Even Point for Scenario 2 means that even though the higher Fixed Costs could have led to a higher Break-Even Point, the higher price contributed more than the fixed costs did and led to an ultimately lower Break-Even Point than the first Scenario.
Answer:
option 2) smaller
As CE is the amount which if the agent gets with certainty, then agent will be indifferent between playing lottery or getting that amount with certainty
So L2 is more risky, & agent is risk averse, so agent will be ready to accept a lower amount with certainty ( as compared to the amount for a safer option : L1)
So CE of L2 will be lower
Answer:
6.95
Explanation:
Coupon rate = $69.50/$1,000 = .0695, or 6.95 percent
Answer:
The store manager is 95% confident that the average amount spent by all customers is between $ 31.84 and $ 38.66.
Explanation:
In statistics, a confidence interval is the probability that the parameter of a population lies between two set of values when a random sample of the population is drawn for a specific percentage of times. This means that the confidence interval is formed about the whole population not the sample from which it is calculated.
The probabilities of a confidence interval can take any number, but 95% and 99% confidence level that are usually used.
It should be noted that, for example, 95% confidence level implies that there is a 95% chance that the true mean of the population lies within the calculated confidence interval.
Therefore, the statement which gives a valid interpretation of the interval in the question is the first one which states that "the store manager is 95% confident that the average amount spent by all customers is between $ 31.84 and $ 38.66."
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