Figure: Coffee and Ice Cream I) Kemala spends her income on ice cream and coffee, and coffee sells for $1 a cup. If ice cream sells for $1.50 per gallon, Kemala will purchase: 1 gallon.

2 gallons.

6 gallons.

8 gallons.

•broussard skateboard’s sales are expected to increase by 15% from $8 million in 2016 to $9.2 million in 2017. its assets totaled $5 million at the end of 2016. broussard is already at full capacity, so its assets must grow at the same rate as projected sales. at the end of 2016, current liabilities were $1.4 million, consisting of $450,000 of accounts payable, $500,000 of notes payable, and $450,000 of accruals. the after-tax profit margin is forecasted to be 6%, and the forecasted payout ratio is 40%. use the afn equation to forecast broussard’s additional funds needed for the coming year

Suppose general motors demands labor according to the labor demand function 푤푤= 40−0. 5퐸퐸, where 푤푤 is the hourly wage and 퐸퐸 is the number of employees. the united auto workers union has a utility function given by 푈푈=푊푊∗퐸퐸. a.in 1984, the united auto workers union started negotiations with general motors by assuming that they were a monopoly union. find the wage and employment demands that the united auto workers union would have demanded before any bargaining began. b.if general motors and the united auto workers union both had excellent bargaining representatives, would this be the final labor contract? if not, then explain in words and graphically where they would end up after the bargaining process.

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.)