Discuss and explain why sampling permits us to make inferences about populations.

1 answer:

6 0

The end result of sampling is to get a representative sample, or a small collection of units or cases from a much larger collection or population. In theory, the researcher can study the smaller group and produce accurate generalizations about the larger group. Researchers focus on the specific techniques that will yield highly representative samples much so in similarities as a population. Quantitative researchers tend to use a type of sampling based on theories of probability from mathematics, called probability sampling.Sampling is the group of individuals who participate in your study. These are the individuals who will participate in a qualitative study. People who could have been participants in your study but did not actually participate are not considered part of your sample.

You might be interested in

The amount of money in Mark's bank account after x months is given by the function

Murrr4er [49]

Y=mx+b
Mx is the rate of change
B is your starting point
Started with 1000, A
-200 is the rate of change, D

4 0

3 years ago

Suppose that you drop a ball from a window 50 metres above the ground. The ball bounces to 50% of its previous height with each

stich3 [128]

We have been given that you drop a ball from a window 50 metres above the ground. The ball bounces to 50% of its previous height with each bounce. We are asked to find the total distance traveled by up and down from the time it was dropped from the window until the 25th bounce.

We will use sum of geometric sequence formula to solve our given problem.

$S_n=\frac{a\cdot(1-r^n)}{1-r}$ , where,