Quantitative Data Accuracy and Precision Quiz

Variable Types

• 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.

Measurement Data

• 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.

Measurement Characteristics

• 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

• 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

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

Ordinal Data

• 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.