As a concept, logos often refers to the what

Concrete consulting co. has the following accounts in its ledger: cash; accounts receivable; supplies; office equipment; accounts payable; jason payne, capital; jason payne, drawing; fees earned; rent expense; advertising expense; utilities expense; miscellaneous expense. transactions oct. 1 paid rent for the month, $3,600. 3 paid advertising expense, $1,200. 5 paid cash for supplies, $750. 6 purchased office equipment on account, $8,000. 10 received cash from customers on account, $14,800. 15 paid creditors on account, $7,110. 27 paid cash for miscellaneous expenses, $400. 30 paid telephone bill (utility expense) for the month, $250. 31 fees earned and billed to customers for the month, $33,100. 31 paid electricity bill (utility expense) for the month, $1,050. 31 withdrew cash for personal use, $2,500. journalize the following selected transactions for october 2019 in a two-column journal. refer to the chart of accounts for exact wording of account titles

Jason started last week with $900 in his checking account. during the week, he wrote the checks below. at the end of the week, jason received a paycheck for $534.59. he recorded all of these transactions in his check register. trans typ./ check no. date description of transaction payment/ debit deposit/ credit (+) balance 900 00 241 12/4 miller's food market 53.21 53 21 groceries 846 79 242 12/7 frank's auto parts 24.05 24 05 oil and filter 822 74 243 12/8 mike's barber shop 15.00 15 00 haircut 807 74 deposit 12/9 paycheck 534.59 534 59 1,342 33 evaluate jason's check register. a. jason did a good job; everything is correct. b. the final balance is wrong; jason did not add everything correctly. c. jason should have written debit instead of deposit for the transaction type. d. jason entered the amount for his paycheck in the wrong column.

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?