Question

Is this the correct way to differentiate the sampling techniques? Is my cluster vs stratified correct?

Convenience Sampling- a sampling technique where you are sampling with the intent of saving time, money, or simply making the sample easier to get it over with

Simple Random Sample- Everybody is equally likely to get picked

Systematic Sampling- Sampling where there are exploitable patterns. Ex: Every 7th customer wins a car

Cluster Sampling- A population of interest is broken down into these things called clusters. We then make random clusters and sample everyone within those random clusters.

Stratified Sampling- A population of interest is broken down into strata (clusters with characteristics). Then, within EACH AND EVERY strata, a random sample is taken.

Answer 1

Answers to Questions asked:
(1) Yes, this is the correct way to differentiate the sampling techniques.

(2) Yes, your cluster vs stratified sampling is correct.

EXPLANATION:

Sampling Techniques:

(i) Simple Random Sampling (SRS): All possible samples are equally likely to occur.

(ii) Stratified Sampling: The population is partitioned into a number of strata. Obtain a Simple Random Sample from each stratum. The stratified Sampling is suitable for heterogeneous population.

(iii) Cluster Sampling: We divide the population into clusters. Obtain a Simple Random Sample of so many clusters from all possible clusters. Obtain a data on every sampling unit in each of the randomly selected clusters.

(iv) Systematic sampling: We create a list of every member of the population. From the list, we randomly select the first element from the first k elements on the population list. Thereafter, we select every k^th element on the list.

(v) Convenience Sampling: A non-probability sampling technique where subjects are selected because of their convenient accessability and proximity to the researcher.

Difference between Cluster Sampling and Stratified Sampling:

With Stratified sampling, the sample includes elements from each stratum. With cluster Sampling, the sample includes elements only from sampled clusters.