Population
Sampling
Probability Sampling
Non-Probability Sampling
100

What is a population in statistics?

The entire group of individuals/items/data under study.

100

What is sampling?

Selecting a subset from a population to study.

100

Every member has equal chance of selection. Which sampling?

Simple Random Sampling.

100

Selecting people who are easiest to reach is?

onvenience Sampling.

200

What symbol represents population size?

N

200

What symbol represents sample size?

n

200

electing every kth member is called?

Systematic Sampling.

200

Selecting participants based on expert judgment is?

Purposive/Judgmental Sampling.

300

Give one example of a population.

All students in a university / households in a city.

300

Sampling helps researchers estimate characteristics of what?

Population.

300

Dividing population into groups and selecting from each group is?

Stratified Sampling.

300

Selecting fixed numbers from groups is?

Quota Sampling.

400

Why is studying the entire population difficult?

It may be costly, time-consuming, or impossible.

400

Name two main types of sampling.

robability and Non-probability sampling.

400

Selecting complete groups or clusters is?

Cluster Sampling.

400

Chain referral sampling is called?

Snowball Sampling.

500

What is a sample?

A subset or portion of the population.

500

Why is sampling useful?

It saves time and cost.

500

Probability sampling provides what type of selection?

Random and fair selection.

500

In non-probability sampling, does everyone have equal chance?

No