Benicio wants to compare the sales of each product in 2021 with the sales in 2020. He has the 2020 sales data stored in a separate workbook. Add the 2020 sales data to the All Locations worksheet as follows:. a. Open the workbook Support_EX19_CS5-8a_2020.xlsx.
b. Return to the All Locations worksheet in the original workbook.
c. In cell G5, enter a formula using an external reference to display the total sales of Mini products in 2020 (cell F5).
d. In the formula in cell G5, change the absolute reference to a mixed reference, with a relative reference to the row number.
e. Fill the range G6:G8 with the formula in cell G5, filling without formatting.
f. Close the workbook Support_EX19_CS5-8a_2020.xlsx.

Goals that are overly ambitious can discourage employees and decrease motivation, yet the idea of stretch goals is proposed as a way to get people fired up and motivated. as a manager, how might you decide where to draw the line between a “good” stretch goal and a “bad” one that is unrealistic?

Harwood company uses a job-order costing system that applies overhead cost to jobs on the basis of machine-hours. the company's predetermined overhead rate of $2.50 per machine-hour was based on a cost formula that estimates $240,000 of total manufacturing overhead for an estimated activity level of 96,000 machine-hours. required: 1. assume that during the year the company works only 91,000 machine-hours and incurs the following costs in the manufacturing overhead and work in process accounts: compute the amount of overhead cost that would be applied to work in process for the year and make the entry in your t-accounts. 2a. compute the amount of underapplied or overapplied overhead for the year and show the balance in your manufacturing overhead t-account. 2b. prepare a journal entry to close the company's underapplied or overapplied overhead to cost of goods sold.

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]