Parameters vs Statistics

Front

What is a population in statistics?

Back

A population is the entire group of individuals or instances about whom we hope to learn.

Front

What is a sample in statistics?

Back

A sample is a subset of the population that is used to represent the entire group.

Front

What is a parameter?

Back

A parameter is a numerical value that summarizes a characteristic of a population.

Front

What is a statistic?

Back

A statistic is a numerical value that summarizes a characteristic of a sample.

Front

How do parameters and statistics differ?

Back

Parameters describe the population, while statistics describe the sample.

Front

What does it mean to make inferences about a population?

Back

Making inferences involves using sample data to draw conclusions about the population.

Front

What is the significance of a survey in statistics?

Back

Surveys collect data from a sample to estimate characteristics of a population.

Front

What is the role of random sampling?

Back

Random sampling ensures that every individual has an equal chance of being selected, reducing bias.

Front

What is a biased sample?

Back

A biased sample is one that does not accurately represent the population, leading to skewed results.

Front

What is the difference between descriptive and inferential statistics?

Back

Descriptive statistics summarize data, while inferential statistics use data to make predictions or inferences about a population.