Answer the following two questions for extra credit (10 points each for 20 total, 250 words per answer to a question)

1. Describe the difference between mood and emotion according to the textbook. Provide an example from your workplace that described the effects of each one of the two, as well as work-related outcomes associated with them.

2. Describe the difference between challenge and hindrance work-related stressors. Provide an example of each one of the two – at least one of those examples should be associated with the current COVID pandemic.


1­. Read several posts made by your classmates in the previous module and comment on at least two posts. Focus on posts that you found to be different or to complement your own points.  

2. Describe yourself in terms of personality and values. Include at least (a) two of the big five personality traits, (b) your whole MBTI type or at least two of its traits, (c) at least one value, and (d) one other personal characteristics discussed in the chapter. Based on this, how does your personality fit or match your current job (if you have one), and/or your vocation or “calling?”

3. Describe yourself by answering the 5 main questions that Peter Drucker asks in the reading. In your description, include your “relational self” – that is, acknowledge the work relationships that have been important to who you are now, and the relationships that may be important in the “second half of your life”. (Hint: This may be your longest answer to fully cover the 5 questions).

4. Peter Drucker suggests that we should understand and dwell on our strengths. How can you accomplish this? What does this mean about your weaknesses as a business person, leader, or manager?


Please show all work.  

  1. In order to decrease the responsiveness (volatility) of following forecast models, what can you do?

Simple moving average method – describe in terms of “averaging periods” (number of data points to use):

Exponential Smoothing method – describe in terms of “alpha value” (smoothing constant):   

  • During last 4 months two different forecasting models resulted as below compared to actual values. Which method is more accurate using MAD? Show all work.
MonthactualModel 1Model 2
  1. A small car dealership keeps a log of how many cars it sells. During last 7 months, they sold a total of 140 cars. They also monitor accuracy of their forecasting model by calculating the tracking signal. Following is the data for last 7 months. They use +5 and -5 as their tracking signal UCL and LCL. How is the model performing?
MonthTracking Signal

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