Answer:
disintermediation
Explanation:
Disintermediation -
It is the method of the removal of the intermediary people or middle men , like brokers , from the future transactions , is known as disintermediation .
It can also be the removal of certain process steps or some funds is also the process of disintermediation ,
hence , from the question , the example of disintermediation is shown .
The removal of the intermediaries can lead to lowering of the overall cost and can even increase the transaction time .
Answer:
d) health psychologist.
Explanation:
Health psychologist: In psychology, the term "health psychologist" is described as an individual who is being engaged in several different tasks associated with "health and wellness". However, a lot of health psychologists tends to work directly in a few clinical settings in order to help different groups or individuals to promote healthy behavior and prevent illness and a lot of health psychologists conduct researches on "health-related issues".
In the question above, Helen is likely a health psychologist.
Answer:
OPCON (Operational Control)
Explanation:
Operation control is defined as the power to carry out function of command over subordinate forces. These functions of command may include giving direction with authority, task assignment, employing forces, and objective designation, in order to ensure a mission is accomplished. OPCON is usually exercised via the commanders of subordinate organizations, which includes functional or Service component commanders and subordinate JFCs.
The answer is hippocampus
Answer:
The answer would be sampling error.
Explanation:
Sampling error occurs when the sample taken is unrepresentative of the overall population. A study population is a group of individuals selected for research who all share a common characteristic. Ideally a sample is a random selection of people from the study population. You get a sampling error when the sample is not representative of the entire study population. This can occur for example if your study population is anyone under the age of 2, for example, and some other characteristic is over represented in your sample, like you only selected 2 year-olds from upper class families. This is something that could make the sample mean different from the population mean.
