Business
Business, 27.06.2019 22:30, darianhaynes

What handles more trades than any other market, the ntse or nasdaq?

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Business, 22.06.2019 16:50, mariposa91
In terms of the "great wheel of science", statistics are central to the research process (a) only between the hypothesis phase and the observation phase (b) only between the observation phase and the empirical generalization phase (c) only between the theory phase and the hypothesis phase (d) only between the empirical generalization phase and the theory phase
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Business, 22.06.2019 17:40, gabe2111
Take it all away has a cost of equity of 11.11 percent, a pretax cost of debt of 5.36 percent, and a tax rate of 40 percent. the company's capital structure consists of 67 percent debt on a book value basis, but debt is 33 percent of the company's value on a market value basis. what is the company's wacc
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Business, 22.06.2019 22:40, shunna33
Colorado rocky cookie company offers credit terms to its customers. at the end of 2018, accounts receivable totaled $715,000. the allowance method is used to account for uncollectible accounts. the allowance for uncollectible accounts had a credit balance of $50,000 at the beginning of 2018 and $30,000 in receivables were written off during the year as uncollectible. also, $3,000 in cash was received in december from a customer whose account previously had been written off. the company estimates bad debts by applying a percentage of 15% to accounts receivable at the end of the year. 1. prepare journal entries to record the write-off of receivables, the collection of $3,000 for previously written off receivables, and the year-end adjusting entry for bad debt expense.2. how would accounts receivable be shown in the 2018 year-end balance sheet?
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Business, 22.06.2019 22:50, brookephillips1099
Total marketing effort is a term used to describe the critical decision factors that affect demand: price, advertising, distribution, and product quality. define the variable x to represent total marketing effort. a typical model that is used to predict demand as a function of total marketing effort is based on the power function: d = axb suppose that a is a positive number. different model forms result from varying the constant b. sketch the graphs of this model for b = 0, b = 1, 0< b< 1, b< 0, and b> 1. (we encourage you to use excel to do this.) what does each model tell you about the relationship between demand and marketing effort? what assumptions are implied? are they reasonable? how would you go about selecting the appropriate model?
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