Representing Categorical Data

These flashcards cover key concepts related to representing categorical and quantitative data as discussed in the lecture.

Categorical Data

Data that can be divided into distinct groups or categories.

Quantitative Data

Data that can be measured and expressed numerically.

Pie Chart

A circular chart divided into sectors that represent proportions of a whole.

Bar Graph

A chart that presents categorical data with rectangular bars.

Frequency Table

A table that displays the frequency of various outcomes in a dataset.

Stem and Leaf Plot

A method of displaying quantitative data where each number is split into a 'stem' and a 'leaf'.

Histogram

A graphical representation of the distribution of numerical data, using bars to show frequencies.

Dot Plot

A simple display of data where each data point is represented as a dot above a number line.

Box and Whisker Plot

A standardized way of displaying the distribution of data based on a five-number summary.

Line Graph

A type of chart that displays information as a series of data points called 'markers' connected by straight line segments.

Example of Categorical Data

Data categories, such as 'pet ownership' with responses like 'cat' or 'dog'.

Example of Quantitative Data

Data represented by quantities, such as 'hours of sleep' recorded numerically.

Actual Data Points

Specific data values that are represented in a chart or graph.