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."
I wish you the best.
The correct answer for the question that is being presented above is this one: "Data." Data<span> is/are the raw facts and figures businesses collect. </span>Data<span> is raw material for </span>data<span> processing. D</span>ata<span> relates to fact, event and transactions. Data in itself is an unprocessed information.</span>
Answer:
The question is missing the below options:
$0.
$150.
$300.
$900.
$1,200.
The answer to the question is $300
Explanation:
In determining the amount of non-value adding cost,Flagler number of hours used in setup process is compared to that of its competitor.As a result of comparison, it came to light that Flagler used two more hours in setup process.
The extra hours do not necessarily make Flagler better,instead it makes worse off, as extra $300(2hrs*$150) would have to be incurred without any benefits derived.
This extra costs that do not make the organization better off and do not add value,so it the non-value adding costs.
(8hrs-6hrs)*$150=$300
Answer:
aftertax cost of debt =5.63%
Explanation:
fisrt we need to know the formula for the yield to maturity
Yield to maturity (YTM)
YTM= ( I+(F-P)/n ) / ( 0.6P +0.4F)
YTM= (9 + ( 100-102.3) / 11 ) / (0.6*102.3 + 0.4*100)
YTM= 0.0867
YTM= 8.67%
after taxes we have...
8.67% (1-0.35%)
=0.0563
=5.63%