Quantitative Data Accuracy and Precision Quiz

Which type of variable is year of starting university for each student?

Which type of data measurement allows for addition, subtraction, multiplication, and division to make sense?

What kind of variable is the record of distance or height?

Which type of variable can't be averaged due to its rank order hierarchy?

What type of variable represents any number, quantity, or characteristic that can be measured?

Which term describes how close repeated measurements are to each other?

What is it called when a measurement is close to the true or accepted value?

In which type of data does it not make sense to average the different possibilities?

What is the term for digits expressing a measurement such that only the last digit is uncertain?

Which type of variable has a natural, meaningful way to order the possibilities but cannot do anything else?

Year of starting university for each student is an example of a quantitative variable.
Ratio data allows for addition, subtraction, multiplication, and division to make sense, as it has a true zero point and equal intervals between units.

Distance or height is an example of a continuous variable.
A ranked variable cannot be averaged due to its rank order hierarchy, as it has a natural order but no equal intervals between units.

A quantitative variable represents any number, quantity, or characteristic that can be measured.
Precision describes how close repeated measurements are to each other.
Accuracy is when a measurement is close to the true or accepted value.

Nominal data is a type of data where it does not make sense to average the different possibilities, as it consists of categories with no natural order or hierarchy.

Significant figures are the digits expressing a measurement such that only the last digit is uncertain.

Ordinal data has a natural, meaningful way to order the possibilities but cannot do anything else, as it has a natural order but no equal intervals between units.