Answer:
22 radio advertisements will be used.
Explanation:
<u>Note</u>: A similar complete question is as follow as the question provided is incomplete <em>"A company has $11,970 available per month for advertising. Newspaper ads cost $110 each and can't run more than 25 times per month. Radio ads cost $410 each and can't run more than 32 times per month at this price. Each newspaper ad reaches 5950 potential customers, and each radio ad reaches 7100 potential customers. The company wants to maximize the number of ad exposures to potential customers. Use n n for number of Newspaper advertisements and r r for number of Radio advertisements . Maximize P"</em>
Number of potential customers that can be reached due to each dollar spent in newspaper advertising = 5950 / 110 = 54.09
Number of potential customers that can be reached due to each dollar spent in Radio advertisements = 7100 / 410 = 17.32.
As the number of potential customers reached by each dollar spent is more from the newspaper advertising, we will use all the newspaper advertising opportunities before going for the radio advertisements. So, we will choose to have 25 newspaper advertisements in the month.
The cost of 25 newspaper advertisements = 25*110 = $2750.
Amount left = $11970 - $2750 = $9220.
Number of radio advertisements possible in this budget = 9220 / 410 = 22.48
Hence, 22 radio advertisements will be used.
Answer:
The correct answer is A and B
Explanation:
Law of increasing the opportunity cost is the principle or the concept which is defined as the company continue to increase the production of one good, the opportunity cost of producing the next unit will increase.
It is as to reallocate the resources in order to produce that one good which was better or best suited to produce the original good.
The law of opportunity cost occur when some of the resources are best suited for some tasks or products instead of others and it will lead to increase in production with increase in the opportunity cost too.
Answer:
The statement is true
Explanation:
As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.
To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.
It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.
Suffix to say, however, while the difference may connote a statistical importance, the practical implication notwithstanding, will be looked and studied on a different set of rules and procedures, beyond the statistical relevance.
Answer:
$555,900
Explanation:
To determine the FVI amount that should be recorded, all closing costs must be added to the initial purchase price of the land
∴ = $490,000 + $29,000 + $1,900 + $6,000 + $29, 000
=$555,900.
