Statistical Sampling and Analysis Concepts

Drawing conclusions

Determining if the data is a population or a sample

Analyzing the data

Collecting data

A group of selected individuals

A collection of all items of interest in a study

A subset of a larger group

A random selection of data points

Data points

Samples

Parameters

Statistics

Students on campus

Students who have lunch in the canteen

Students on exchange

Distance education students

Populations are too similar

Populations are too large and complex

Populations are too diverse

Populations are too small

They are too similar

They are too large and complex

They are too diverse

They are too small

They are more accurate

They are easier to contact and less costly

They provide more data

They eliminate errors

Samples provide more data

Samples are less time-consuming and costly

Samples eliminate errors

Samples are more accurate

It included only students who were present for lunch

It was too small

It was chosen by chance

It included only students from one department

A sample chosen based on convenience

A sample that is chosen by the researcher

A sample that includes all members of a population

A sample where each member is chosen by chance