Keywords Used in Statistics

This video tutorial explains key statistical terms such as hypothesis, data, qualitative and quantitative data, continuous and discrete data, cumulative frequency, population, and sample. It encourages viewers to match these terms with their definitions and provides an interactive exercise to reinforce learning.

What is a hypothesis in the context of statistics?

• A type of qualitative data

• A collection of data

• A numerical value

• A statement to be tested

Which of the following best describes qualitative data?

• Data that can be counted

• Data that is descriptive

• Data that can be measured

• Data that is numerical

What is the main characteristic of continuous data?

• It can only take on certain values

• It is always descriptive

• It can take any value within a range

• It is always numerical

What does cumulative frequency represent?

• A single data point

• A complete group for study

• A running total of frequencies

• A type of qualitative data

What is a sample in statistical terms?

• A complete group for study

• A selection from a population

• A type of continuous data

• A numerical data set