This year Evan graduated from college and took a job as a deliveryman in the city. Evan was paid a salary of $72,300 and he received $700 in hourly pay for part-time work over the weekends. Evan summarized his expenses as follows: Cost of moving his possessions to the city (125 miles away) $ 1,200 Interest paid on accumulated student loans 2,800 Cost of purchasing a delivery uniform 1,400 Contribution to State University deliveryman program 1,300 Calculate Evan's AGI and taxable income if he files single.

Assume that interest payments were initially required on Evan's student loans this year.

At the beginning of the accounting period, nutrition incorporated estimated that total fixed overhead cost would be $50,600 and that sales volume would be 10,000 units. at the end of the accounting period actual fixed overhead was $56,100 and actual sales volume was 11,000 units. nutrition uses a predetermined overhead rate and a cost plus pricing model to establish its sales price. based on this information the overhead spending variance is multiple choice $5,500 favorable. $440 favorable. $5,500 unfavorable. $440 unfavorable.

Ajustification for job training programs is that they improve worker productivity. suppose that you are asked to evaluate whether more job training makes workers more productive. however, rather than having data on individual workers, you have access to data on manufacturing firms in ohio. in particu- lar, for each firm, you have information on hours of job training per worker (training) and number of nondefective items produced per worker hour (output). (i) carefully state the ceteris paribus thought experiment underlying this policy question. (ii) does it seem likely that a firm’s decision to train its workers will be independent of worker characteristics? what are some of those measurable and unmeasurable worker characteristics? (iii) name a factor other than worker characteristics that can affect worker productivity. (iv) if you find a positive correlation between output and training, would you have convincingly established that job training makes workers more productive? explain.

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.)