Answer:
Random sampling
Explanation:
Random sampling is a way to select the sample from a population randomly for making inferences about the population. The exit poll is the example of random sampling which makes the inferences about the election. It is also called probability sampling.
There are different type of random sampling such as:
- Simple random sampling
- Stratified random sampling
- Cluster sampling
Thus in the above statement, The researcher used random sampling to collect the data about magazine contents. This technique is also called random sampling or probability sampling.
The researches will extract the most accurate information in
a form of data collection methodology called the survey methodology. This type
of method is used in having to study the individuals that are sampled from
which they are from a population and this is combined with the use of having to
use a survey data.
This statement is false.
<em>A person with a high degree of optimism is likely to experience high job satisfaction because their motivation to work is higher and they expect positive outcome.</em>
Optimism is based on the principle of positive thinking and it leads to overall positive feelings about a situation. Job satisfaction refers to general positive attitude and feelings towards one's job.
A person with a high degree of optimism may have unrealistic expectations but is more willing to work hard despite extreme challenges. They work hard to prove that they <em>were able to make the unrealistic expectation reality</em>. They expect good things to happen and they rate of success in their jobs is high.
Optimism is related to better performance at work. High job satisfaction means higher productivity and less stress at work.
Traditional I think I’m not sure but I think
Answer:
Air is the part of the lithosphere
