Treasury stock transactions biscayne bay water inc. bottles and distributes spring water. on may 14 of the current year, biscayne bay water inc. reacquired 2,300 shares of its common stock at $51 per share. on september 6, biscayne bay water inc. sold 1,700 of the reacquired shares at $55 per share. the remaining 600 shares were sold at $48 per share on november 30. journalize the transactions of may 14, september 6, and november 30. for a compound transaction, if an amount box does not require an entry, leave it blank.

What part of the rational model of decision-making does the former business executive “elliott” have a problem completing?

He cheyenne hotel in big sky, montana, has accumulated records of the total electrical costs of the hotel and the number of occupancy-days over the last year. an occupancy-day represents a room rented out for one day. the hotel's business is highly seasonal, with peaks occurring during the ski season and in the summer. month occupancy- days electrical costs january 1,736 $ 4,127 february 1,904 $ 4,207 march 2,356 $ 5,083 april 960 $ 2,857 may 360 $ 1,871 june 744 $ 2,696 july 2,108 $ 4,670 august 2,406 $ 5,148 september 840 $ 2,691 october 124 $ 1,588 november 720 $ 2,454 december 1,364 $ 3,529 required: 1. using the high-low method, estimate the fixed cost of electricity per month and the variable cost of electricity per occupancy-day. (do not round your intermediate calculations. round your variable cost answer to 2 decimal places and fixed cost element answer to nearest whole dollar amount) 2. what other factors other than occupancy-days are likely to affect the variation in electrical costs from month to month? (you may select more than one answer. single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer.) seasonal factors like winter or summer. systematic factors like guests, switching off fans and lights. number of days present in a month. fixed salary paid to hotel receptionist. income taxes paid on hotel income.

Now, use your previously-computed value as an approximation for sigma, and compute how many ears of the experimental corn the researcher needs in the study. don't forget, the margin of error and confidence level have already been given to you in a previous problem.