At December 31, 2021, the financial statements of Hollingsworth Industries included the following: Net income for 2021 $ 560 million Bonds payable, 8%, convertible into 36 million shares of common stock $ 300 million Common stock: Shares outstanding on January 1 400 million Treasury shares purchased for cash on September 1 30 million Additional data: The bonds payable were issued at par in 2019. The tax rate for 2021 was 25%. Required: Compute basic and diluted EPS for the year ended December 31, 2021. (Do not round intermediate calculations. Round "Earnings per share" answers to 2 decimal places. Enter your answers in millions (i. e., 10,000,000 should be entered as 10).)

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.

Perez, inc., applies the equity method for its 25 percent investment in senior, inc. during 2018, perez sold goods with a 40 percent gross profit to senior, which sold all of these goods in 2018. how should perez report the effect of the intra-entity sale on its 2018 income statement?

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]