Janel owns five small businesses, each of which has its own manager and employees. janel spends the following number of hours this year working in the various businesses: business a, 130 hours; business b, 160 hours; business c, 110 hours; business d, 120 hours; business e, 100 hours. which of the following statements is correct? a. businesses a, b, c, d, and e are all significant participation activities. b.businesses a, b, c, and d are all significant participation activities. c.janel is considered a material participant in businesses a, b, c, and d. d.businesses a, b, c, and d are all significant participation activities and janel is considered a material participant in businesses a, b, c, and d.

Your project team’s recommendations to increase productivity have been approved and your team is now working on an implementation plan. in order to accomplish the plan, several subject matter experts from various parts of the organization have been brought in to assist. you have noticed friction and conflict among team members. some of the disagreement and opposition on your team supports the achievement of team goals and objectives. this type of conflict can be described as:

Electronics assembly inc. is a contract manufacturer that assembles consumer electronics for a number of companies. currently, the operations manager is assessing the capacity requirements as input into a bid for a job to assemble cell phones for a major global company. the company would assemble three models of cell phones in the same assembly cell. setup time between the phones is negligible. electronics assembly inc. operates two 8-hour shifts for 275 days per year. cell phone demand forecast (phones/year) processing time (minutes/phone) mars 47,000 19.8 saturn 35,000 20.7 neptune 7,500 16.2 a. calculate total capacity required by line. b. determine the total operating time available. c. calculate the total number of assembly cells. (round up your answer to the next whole number.)

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]