Answer:
$12
Explanation:
If P = $2 then the Q will be;
Q = 20 - 4 * 2
Q = 20 - 8
Q = 12
The maximum annual membership fee will be equal to the amount of demand. The annual membership fee cannot be greater than the demand function if so there will be decline in the demand.
The traits and skills can help to explain the successful strategic leadership by <span>Gyosn are the below:
</span><span>Relationship in the middle of execution and system
</span>
Transparency
Communication
The CEO of Nissan and Renault is a champion among the most interesting pioneers in the private zone. Carlos Ghosn has made the affirmation of essential qualities as a pioneer. A champion among the most basic characteristics of Carlos Ghosn is addressed by the ability to get a handle on social differentiations. His own particular experience enables and sponsorships such a technique. He recognizes social complexities and even consolidates them in the legitimate society.
Answer:
Explanation:
Pizza quantity Change = 60-50 = 10
Income change = $12000 - $10000 = $2000
Mid point of Quantity of Pizza = (50+60)/2 = 55
Mid point of income = ($12000 + $10000)/2 = $11000
Income elasticity = 10*11,000/2000*55 = 110,000/110,000=1
Pizza is a unit elastic normal good, because percentage change in income = % change in pizza quantity
Answer:
Social performance management
Explanation:
Social performance management is said to be a system that organizations or firms use to get their social goals achieved. This goals are measured by how much the employee is able to do for clients/customers.
The client/customer in this case is put to use in strategies and operations in helping the employee achieve his//her goal.
The stronger the social performance managment of an employee, the more he/she is able to reach his/her goals.
Cheers.
Answer: When we remove outliers from a data set, the sum total of all the values in the data set will decrease by the total value of outliers removed. The total number of observations will also decrease. The new mean will be lesser than the mean of the original data set.
Since the standard deviation measures the deviations from the mean, the outliers affect the value of standard deviation too.
When these outliers are removed, the deviations from the mean will also decrease and the standard deviation will be lesser than the standard deviation observed in the data set that had outliers.
