When one enters a $50,000 credit entry to the Land account in a spreadsheet for the statement of cash flows, it represents a negative change in that account and probably is due to selling such assets. True or False

Suppose you have just been hired as the chief diversity officer of a large company. previous mentoring programs at this company have not been successful. after inquiring about previous efforts, you discover that most mentor pairs met just a few times, but very few lasting or meaningful mentoring relationships were created. there were also a significant number of employees that did not even attempt to seek out a mentor relationship. which of the following may be a reason why prior mentoring programs at your company failed? check all that apply. a) minorities and women are much less likely to develop mentoring relationships than white malesb) mentoring is not an effective way for organizations to develop female and minority employeesc) due to specific laws governing appropriate workplace behavior, senior-level male executives were reluctant to cultivate mentoring relationships with female employees, fearing negative repercussionsd) fear of creating a future competitor within the company, senior-level female executives were hesitant to mentor other female employees

The leading producer of cell phone backup batteries, jumpstart, has achieved great success because they produce high-quality battery backups that are not too expensive. even so, another company that produces lower-quality batteries at the same price has also achieved some success, but not as much as jumpstart. also, in general, the price of backup batteries has declined because of economies of scale and learning. in addition, jumpstart has added complementary assets, such as a carrying case. considering all of these factors, the backup battery industry is most likely in the introduction stage. growth stage. shakeout stage. maturity stage.

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]