The population of a town is divided into three age categories. a random sample of each category is surveyed about voting choices. this type of sampling is called

The population of a town is divided into three age categories. A random sample of each category is surveyed about voting choices. this type of sampling is called stratified sampling.

Step-by-step explanation:

Stratified sampling refers to a type of sampling technique whereby an analyst or researcher divides the large population of interest into a number of groups, referred to as strata.

The researcher then obtains a simple random sample from the respective groups or categories.

Stratified sampling

Step-by-step explanation:

A random sampling where the population is divided into non-coinciding groups are called strata and a sample is picked out by some design within each strata is known as stratified sampling.

Given : The population of a town is divided into three age categories which are strata . A random sample of each category is surveyed about voting

choices.

Then this type of sampling is called stratified sampling.

step-by-step explanation:

cats

24

step-by-step explanation:

the graph shows 30% of students walk. 80 students were questioned, so the number that said they walk is

30% × 80 = 0.30 × 80 = 24