1. Construct dot plots and histograms.
2. Analyze (centrality, spread, and shape) and describe dot plots and histograms.
3. Select and defend the appropriate graphical representation of a set of data.
Data needs to be displayed. Most sets of data are too cumbersome to examine quickly in a numerical format. That's where different types of visual representations of data sets comes in handy. Visual representations, more commonly called graphs, offer a succinct, organized display that can be easily and quickly examined. In this packet, we will examine the construction dot plots and histograms as well as an introduction to their analysis.
Dot plots are simple visual representations of small sets of data. Generally, a dot is used to represent each sample that fits into a particular category. A category can be a qualitative characteristic or it can be a quantitative value or range of values. Watch to see how to make a simple dot plot.
In this video, Khan creates a quick histogram. Be sure to recognize the fairly minute difference between a histogram and a bar graph. Both are made of bars that represent the size or frequency of that particular group. One of the key differences is that bar graphs group data by quanitative groups where histograms group data in quantitative groups.
Source: Khan Academy