Answer:
b.theory of comparative advantage
Explanation:
Comparative advantage theory uses the concept of opportunity cost to measure the efficiency of each firm in producing a good or service. If Company A has a higher opportunity cost than Company B in producing a service, it is best to let Company B perform this service, while A must specialize in another activity. This may apply to companies that have the option of producing components of their final product or outsourcing these components. If the opportunity cost of a third party firm is lower, that firm will be more efficient in producing that component. Then the company can use its time and resources for other activities and purchase the outsourced firm's component. This way, the firm will be allowing another company to do part of the business because that other company is more productive in that particular service.
The white house press corps
Answer:
the tendency to commit delinquent acts in small groups rather than alone
Explanation:
In simple words, The conduct of a criminal by even more than a individual is known as co-offending. It's commonly referred to as "group crime," although the phrase is deceptive because the great proportion of co-offenses are perpetrated just by two people. Thus, from the above we can conclude that the correct statement is third option.
I thinks this is<u> "alcohol abuse".</u>
Alcohol is the most commonly utilized addictive substance in America. One out of 12 adults in the United States experience alcohol abuse. Alcohol abuse likewise impacts persons' conduct, which can result in mishaps and violence. The impacts of alcohol addiction are grave and extensive. While a few people can beat this addiction all alone, most people need help. As Donny has begun to drink a lot more than he ever used to, so this is alcohol abuse.
Sample is a small set of number (n) represent whole population (N). Mean is the average of sample population (∑n/N). For Standard deviation subtract each number from mean and square it. Then find out the mean of squared differences and take square root of it.
<u>Explanation:</u>
Sample is the randomly chosen small set of number represented by n and it represents whole population (N). Sample mean is the average (n) observation from mean. Standard deviation is used to measure the deviation of data from the mean of the sample.
Sampling distribution provides a mean of statistical inference. Sample size should be large enough to represent the whole. It will be more statistically significant if it is large in size. Standard deviation is the dispersion or deviation of data set relative to its mean.
