1.2 Variables & Types of Data

Front

What is a variable in statistics?

Back

A variable is a characteristic or attribute that can take on different values. It can be classified as qualitative or quantitative.

Front

Define qualitative data.

Back

Qualitative data is non-numerical information that describes characteristics or qualities, such as colors, names, or labels.

Front

Define quantitative data.

Back

Quantitative data is numerical information that can be measured and expressed mathematically, such as height, weight, or age.

Front

What is the difference between discrete and continuous data?

Back

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

Front

What type of data is represented by the weights of trucks?

Back

Ratio data, as it has a true zero point and allows for meaningful comparisons.

Front

What type of data is represented by letter grades (A, B, C, D, F)?

Back

Ordinal data, as it represents a ranked order but does not have a consistent scale between values.

Front

Give an example of continuous quantitative data.

Back

The weight of Cardinals baseball players this year.

Front

What is nominal data?

Back

Nominal data is a type of qualitative data that represents categories without any order or ranking, such as hair color or types of fruit.

Front

What is ordinal data?

Back

Ordinal data is a type of qualitative data that represents categories with a meaningful order or ranking, such as survey ratings (e.g., satisfied, neutral, dissatisfied).

Front

What is interval data?

Back

Interval data is numerical data where the difference between values is meaningful, but there is no true zero point, such as temperature in Celsius.