Answer:
C.
Explanation:
Based on the answers provided within the question it can be said that the behavior that best represents task-oriented would be when my project manager dispatched the technical service immediately. when my printer stopped working. This is because task-oriented refers to handling tasks that arise as soon as possible in order to achieve a goal as fast and efficiently as possible. Which is what the manager in this situation is doing by getting the printer fixed as fast as he can in order to continue operations towards the company goal.
Answer:
a. The director is wrong: the lurking variable here is the severity of the blizzard. A more severe blizzard calls for more plows and keeps people at home, where they are more likely to make online purchases.
Explanation:
The director is correlating the number of snow plows on the road with the amount of online purchases - the <em>correlation </em>is high, but it doesn't mean that the increase on online purchases is <em>caused </em>by the number of snow plows on the road.
The question is: why would the number of snow plows on the road increase in the first place? Snow plows are sent out according to the amount of snow that has fallen, which means that the <em>lurking variable </em>that explains the increase in the number of snow plows and the amount of online purchases, is the severity of the blizzard in terms of how much snow has fallen. When the weather outside is too harsh or dangerous for people to go out, then it is most likely that they prefer online purchases. If the director were to analyze the correlation between the severity of the blizzard and the amount of online purchases, he would find a high correlation as well and in this case it would be the variable that actually explains the behavior of the consumers.
Remember that a lurking variable is the non-controlled variable that affects both the dependent and independent variables. In this case, there is nothing that the director can do about the severity of the blizzard besides perhaps increasing the stock whenever the severe blizzard season rolls around.
666, but to be honest I don’t understand what you are trying to say but yup
When a p-value is greater than 0.05, this tends to indicate statistical significance. In general, a larger sample size increases statistical significance, so I would say "true."
Output and input levels always tend to an equilibrium point it the long run, meaning they are inelastic in the long run.
Elasticity refers to how much supply and/or demand changes with changes in pricing. The more elastic, the more change there is.
In the short-term, output and and supply can change dramatically, but in the long run things tend back to the middle (equilibrium).
