IB Applications and Interpretation 4.1

Front

What is the difference between discrete and continuous data?

Back

Discrete data consists of distinct or separate values (e.g., number of phone calls), while continuous data can take any value within a range (e.g., height, weight).

Front

Define 'sample' in statistics.

Back

A sample is a subset of a population used to represent the entire group in statistical analysis.

Front

What is an example of discrete data?

Back

The number of suitcases lost by airlines is an example of discrete data.

Front

What is systematic sampling?

Back

Systematic sampling involves selecting units from a population at regular intervals (e.g., every 5th unit).

Front

Define 'population' in the context of statistics.

Back

A population consists of all subjects (human or otherwise) that are being studied.

Front

What type of data is represented by the number of students in a classroom?

Back

Discrete data.

Front

What is a simple random sample?

Back

A simple random sample is a subset of a population where each member has an equal chance of being selected.

Front

What is the purpose of sampling in statistics?

Back

Sampling allows researchers to make inferences about a population without studying every individual.

Front

What is a convenience sample?

Back

A convenience sample is a non-random selection of subjects that are easily accessible to the researcher.

Front

What is the difference between a sample and a population?

Back

A sample is a smaller group selected from a population, which is the entire group being studied.