Chapter 11.3, Problem 1E

To determine

To explain:

Difference between stratified sample and a cluster sample.

Answer to Problem 1E

Difference between stratified sample and a cluster sample is described as below.

Explanation of Solution

A stratified is where a population is divided into smaller groups that share a same characteristics. A sample is then randomly chosen from each group.

For example, in order to draw a random sample of $100$ players, $25$ players from rugby, $25$ from football team and $25$ from cricket, $25$ from badminton team of a large school were selected.

A cluster sample is a population divide into groups called clusters and all of the members in one or more clusters are selected.

For example, in order to draw a random sample of $100$ players, researchers randomly select addressing from and sample all the players inside it.