Lesson 2

Question 1

Simple Random Sampling (General)

Answer 1

In simple random sampling (sometimes called SRS), every possible sample of a certain size
has the same chance of being selected.

Question 2

Systematic sampling

Answer 2

In systematic sampling every “kth” subject is sampled from a list or queue. To make sure
this is still a form of random sampling, we choose a random starting point among the first
”k” people/objects

Question 3

Cluster Sampling

Answer 3

In cluster sampling we divide the population into non-overlapping groups (called clusters).
Then we randomly select clusters, and all the members of the chosen cluster are included
in our sample.

Question 4

Stratified Sampling

Answer 4

In stratified sampling we again divide the population into non-overlapping groups (now
called strata). However, instead of randomly selecting entire groups, we take a separate
simple random sample within every single group.

Question 5

Convenience Sampling

Answer 5

The most common sampling method is likely convenience sampling, which is NOT
considered a form of random sampling. Convenience sampling is when the sample is
chosen using convenience rather than a more sophisticated method using randomization.
This method is very prone to bias.

Question 6

Margin of error

Answer 6

The margin of error is how far we think our statistic may be from our parameter.