Answer:
diminishing returns
Explanation:
I'll provide you with a situation as an example.
Let's say that you are running a successful ice cream company. Typically, ice creams are made with dairy. This made a certain percentage of population couldn't consume it since they are lactose intolerant. (Basically eating dairy will give them diarrhea ).
There are not many people who have this condition. Let's say that you want to increase the value of your product and use the materials that makes your product become consumable to this specific population while maintaining the original taste.
This would resulted in a small amount increase in customers base , but the investment that you need to make in order to make it happen will be substantial. You basically have to invest in researches to find the perfect ingredients, invest in additional marketing expense to educate the customers on the new product, change your current production flow, etc.
Answer:
The appropriate solution will be the "establishment" stage.
Explanation:
- The establishment stage throughout professional advancement or career progress is the time where someone who starts to pursue jobs and receives one's first assignment.
- Thus, during that point, the candidate goes through all the induction process, the acknowledgment of a position as well as the accommodation of the particular organization.
So that Sarah's profession has been at the level of the establishment.
Answer:
Part a: The probability of breaking even in 6 tosses is 0.3125.
Part b: The probability that one payer wins all the money after the 10th toss is 0.0264.
Explanation:
Part a
P(success)=1/2=0.5
P(Failure)=1/2=0.5
Now for the break-even at the sixth toss
P(Break Even)=P(3 success out of 6)
P(3 success out of 6)
So the probability of breaking even in 6 tosses is 0.3125.
Part b:
So the probability that one of the player wins all the money after the 10th toss is given as the tenth toss is given as a win so
Wins in 9 tosses is given as 9!/7!=72
The probability that the other person wins
Wins in 8 out of 10 tosses is given as 10!/8!(10-8)!=10!/8!2!=45
So the probability of all the money is won by one of the gambler after the 10th toss is given as
P=number of wins in 9 tosses-Number of wins in 10 tosses/total number of tosses
P=(72-45)/2^16
P=0.0264
So the probability that one payer wins all the money after the 10th toss is 0.0264.
Answer:
Option b. a net operating loss occurs.
Explanation:
contribution margin is simply known to be that portion of sales revenue that is yet to be consumed by variable costs and so is an addition to covering the fixed costs. The higher the contribution margin ratio, the more smaller or fewer the units that will need to be manufactured to become profitable. In short, it is sales revenue minus fixed expenses.
Answer:
B. $1,015,500 on Marc ; $756,500 for Estella
Explanation:
Marc has current salary of $110,000 with which he runs the household expenses. If Marc dies then there should be more insurance coverage because he is the only person who earns in the house. Estella is a house wife and insurance coverage for her is lower than Marc because he will still be able to continue his earning.
