Creighton applies to bigdata corporation for a position as a software engineer. creighton's resume lists training in computers or programming and background as an engineer when in fact he has neither. after creighton is hired, bigdata learns the truth. bigdata a) not rescind the contractb) rescind the contract on the basis of .fraudc) rescind the contract on the basis of mistake. d) rescind the contract on the basis of undue influence.

Jimmy owns an ice cream parlor. he designs a schedule for the different tasks the employees have to perform in order to prevent monotony at work. according to the schedule, if an employee makes waffle cones on a day, he serves ice creams the next day and clears the tables on the day after that. jimmy is using the approach at his ice cream parlor.

The market for corn in country a is highly competitive. at the current market price of $5/bushel there is a shortage of 100,000 bushels of corn in this country. media reports claim that the price of corn will rise drastically in the near future. according to these reports, the neighboring country b had witnessed a similar situation recently. at the same price, the shortage in country b was also 100,000 bushels and eventually the equilibrium price in b went up to $10/bushel. both countries are known to have equal number of corn producers and the market supply of corn is identical at all prices. this, combined with the fact that consumers in the two countries also have similar tastes and preferences, led the media to conclude that the price of corn in country a would soon be as high as $10/bushel. the new equilibrium price turns out to be below $10/bushel, what inferences can be drawn?

One question from a survey was "how many credit cards do you currently have? " the results of the survey are provided. complete parts (a) through (g) below. click the icon to view the survey results. (a) determine the mean number of credit cards based on the raw data. the mean is 3.113.11 credit cards. (type an integer or a decimal. do not round.) (b) determine the standard deviation number of credit cards based on the raw data. the standard deviation is 1.9111.911 credit cards. (round to three decimal places as needed.) (c) determine a probability distribution for the random variable, x, the number of credit cards issued to an individual. x (# of cards) p(x) x (# of cards) p(x) 1 0.280.28 6 nothing 2 nothing 7 nothing 3 nothing 8 nothing 4 nothing 9 nothing 5 nothing 10 nothing (type integers or decimals. do not round.)