Histograms and Graphs
Histogram
Definition: A histogram is a graphical representation that summarizes the frequency distribution of continuous data.
It consists of bars that touch each other on the x-axis because we are dealing with continuous numbers.
Bar Chart vs. Histogram
Bar Chart:
Characteristics: Bar charts have gaps between the bars.
Purpose: Used to display discrete categories.
Histogram:
Characteristics: In contrast, in a histogram, there are no gaps between bars.
Purpose: Used for representing a range of numbers continuously.
Misuse of Graphs
Discussion: There can be manipulation of visuals where the same data is presented in two different ways, which might lead to misinterpretation.
Frequency Polygons
Definition: Frequency polygons are a method to summarize the frequency of continuous data at the midpoint of each interval.
Intervals
Calculation: An interval is calculated by adding the upper and lower boundaries of the interval. This means that you take the maximum and minimum values in a range to determine the overall span.
Frequency Polygon and Ogive
Frequency Polygon:
Displays the frequencies of continuous data between intervals.
Plotted using midpoints of the intervals connected by straight lines.
Ogive:
Definition: An ogive is a graph that summarizes the cumulative percent distribution of data over time or a certain continuum.
Scatterplot
Definition: A scatterplot is another graphical representation that shows the relationship between two numerical variables, typically displaying individual data points on a two-dimensional graph where one variable is plotted on the x-axis, and the other on the y-axis.