{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

How to Construct a Boxplot-ECO6416

# How to Construct a Boxplot-ECO6416 - How to Construct a...

This preview shows pages 1–2. Sign up to view the full content.

How to Construct a Boxplot A Boxplot is a graphical display that has many characteristics. It includes the presence of possible outliers . It illustrates the range of data. It shows a measure of dispersion such as the upper quartile, lower quartile and interquartile range (IQR) of the data set as well as the median as a measure of central location, which is useful for comparing sets of data. It also gives an indication of the symmetry or skewness of the distribution. The main reason for the popularity of boxplots is that they offer much of information in a compact way. Steps to Construct a Boxplot: 1. Horizontal lines are drawn at the smallest observation (A), lower quartile. And another from the upper quartile (D), and the largest observation (E). Vertical lines to produce the box join these horizontal lines at points (B, and D). 2. A vertical line is drawn at the median point (C), as shown on the above Figure. For a deeper understanding, you may like using graph paper , and Descriptive Sampling Statistics JavaScript in constructing the Boxplots for some sets of data; e.g., from your textbook. Measuring the Quality of a Sample Average by itself is not a good indication of quality. You need to know the variance to make any educated assessment. We are reminded of the dilemma of the six-foot tall statistician who drowned in a stream that had

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}