When we see that the price is greater than the average variable cost and less than the average total cost at the profit-maximizing quantity of output in the short run, a perfectly competitive firm will.

A) produce at a loss.
B) produce at a profit.
C) shut down production.
D) produce more than the profit-maximizing quantity.

Investors who put their own money into a startup are known as a. mannequins b. obligators c. angels d. borrowers

Apolling company reported that 57​% of 1013 surveyed adults said that cellular phones are "quite annoying." complete parts​ (a) through​ (d) below. a. what is the exact value that is 57​% of 1013​? the exact value is 577.41. ​(type an integer or a​ decimal.) b. could the result from part​ (a) be the actual number of adults who said that cellular phones are "quite annoying" question mark why or why​ not? a. ​no, the result from part​ (a) could not be the actual number of adults who said that cellular phones are "quite annoying" because that is a very rare opinion. b. ​yes, the result from part​ (a) could be the actual number of adults who said that cellular phones are "quite annoying" because the results are statistically significant. c. ​yes, the result from part​ (a) could be the actual number of adults who said that cellular phones are "quite annoying" because the polling numbers are accurate. d. ​no, the result from part​ (a) could not be the actual number of adults who said that cellular phones are "quite annoying" because a count of people must result in a whole number. c. what could be the actual number of adults who said that cellular phones are "quite annoying" question mark the actual number of adults with this opinion could b

An information technology analyst believes that they are losing customers on their website who find the checkout and purchase system too complicated. she adds a one-click feature to the website to make it easier, but finds that only about 99% of the customers are using it. she decides to launch an ad awareness campaign to tell customers about the new feature in the hope of increasing the percentage. she doesn't see much of a difference, so she hires a consultant to her. the consultant selects a random sample of recent purchases, tests the hypothesis that the ads produced no change against the alternative that the percent who use the one-click feature is now greater than 99%, and finds a p-value of 0.240.24. what conclusion is appropriate?