Answer:
Probability sampling
Explanation:
Probability Sampling is a sampling technique in which a sample from a larger population is chosen using a method based on the theory of probability. For participants to be considered as part of the probability sample, they must be selected using a random selection.
The most important characteristic of probability sampling is that everyone in the population has an equal chance of getting selected.
In this example. Cornelia used the directory at her school and <u>RANDOMLY</u> selected 100 students. Then, <u>she assigned people </u><u>ALTERNATIVELY</u><u> (and therefore </u><u>RANDOMLY</u><u>) to each matrix cell to conform her experimental and control groups. </u>
Since <u>she selected her sample at random and then she assigned the persons to each of the groups in a random way</u>, we can conclude that this is an example of <u>Probability Sampling</u>
Sorry if this doesn’t help. -m
After the French Revolution, citizens began having a say in what went on in the government.
<span>Loops is the different name for repeat block used by Computer scientists A while statement repeats a section of code over and over again as long as some condition is true is called a while loop</span>
