WARM UP: Population vs. Sample

Front

What is a population in statistics?

Back

A population is the entire group of individuals or items that we want to study or draw conclusions about.

Front

What is a sample in statistics?

Back

A sample is a subset of the population selected for analysis, used to make inferences about the population.

Front

Example of a population: Everyone in your school. What does this represent?

Back

This represents the entire group of students in that school.

Front

Example of a sample: One classroom in a school. What does this represent?

Back

This represents a smaller group selected from the larger population of all students in the school.

Front

What is the difference between a population and a sample?

Back

A population includes all members of a defined group, while a sample includes only a portion of that group.

Front

In a survey of shoppers in a mall, who is the population?

Back

The population is all shoppers in the mall.

Front

In a study of Ms. Young's students, what is the sample if 34% received A's?

Back

The sample is the 34% of Ms. Young's students who received A's.

Front

Why is it important to distinguish between population and sample?

Back

Distinguishing between population and sample is crucial for accurate data analysis and to avoid bias in results.

Front

What is a census?

Back

A census is a survey that attempts to collect data from every member of the population.

Front

What is sampling bias?

Back

Sampling bias occurs when the sample is not representative of the population, leading to inaccurate conclusions.