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

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.

Explanation / Answer

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 kth 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.

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