Answer:
1. The price for Uber services increases.
2. The quantity of Uber services sold increases.
Explanation:
As the college students use the uber so here the number of students are rised up that means the demand is more when the semester is started i.e. the price is more
Also the uber has one attribute i.e. surge pricing which represent the law of demand and the supply. In the case when the demand is more or the supply is less the price would increase
So overall the price and the quantity should increased
Answer:
The thief has a 0.11% probability of hitting the pin code on the first try.
Explanation:
Simply, if the ATM card has a 3-digit code that can be repeated, and the board has 9 numbers (for example, from 1 to 9), we must start from the smallest number that could be formed with these numbers to the highest number that these numbers could also compose, which in the case would be 111 and 999. Then, 889 different numbers could be formed (it is the distance between 111 and 999), with which the possibility of hitting the key to the first attempt would be 1 in 889 times, or 1/889.
To take the probability to a percentage, we must know that 889 / 8.89 gives 100. Therefore, dividing 1 / 8.89 we will know the percentage of probabilities of hitting the key on the first attempt: 1 / 8.89 = 0.11.
This shows us that the thief has a 0.11% probability of hitting the key on the first try.
Answer:
solomon is supposed to continue production at Division B because of the increase in the production volume and sales volume that has increased.
Explanation:
Solomon should take the risk of continuing in the business for like a certian period so that he can be able to asses the production fully before making a decision of probably Subleasing the facility.
Sublease: this is the act of leasing a property by a tenant to a subtenant
Answer:
The correct answer is genetic algorithms
Explanation:
Genetic Algorithms are adaptive methods that can be used to solve search and optimization problems. They are based on the genetic process of living organisms. Throughout the generations, populations evolve in nature according to the principles of natural selection and the survival of the strongest, postulated by Darwin (1859).
By imitating this process, Genetic Algorithms are able to create solutions for real-world problems. The evolution of these solutions towards optimal values of the problem depends to a large extent on their adequate codification.
