BoxandWhisker Plots  Summary and Q&A
TL;DR
Learn how to create and interpret box and whisker plots to analyze the spread and median distance traveled by customers to a restaurant.
Questions & Answers
Q: Why is a box and whisker plot suitable for analyzing the spread and median distance traveled by customers?
A box and whisker plot provides a clear visualization of quartiles, the median, and the range of data, making it ideal for understanding the spread and central tendency of distances traveled.
Q: How do you find the median in a set of data to create a box and whisker plot?
To find the median, first, order the data. If the number of data points is odd, the median is the middle value. If the number of data points is even, the median is the average of the two middle values.
Q: What do the whiskers in a box and whisker plot represent?
The whiskers show the range of the data, specifically the minimum and maximum values. They indicate the entire spread of distances traveled by customers.
Q: How do you interpret the box in a box and whisker plot?
The box represents the middle half of the data. The lower edge of the box is the first quartile, and the upper edge is the third quartile. It shows where the majority of the data lies.
Summary & Key Takeaways

A restaurant owner wants to analyze the distance customers travel to his establishment and understand the spread of the distances and the median distance.

Box and whisker plots are the ideal graph for depicting medians and spreads of data.

By ordering the data, finding the median, and splitting the data into quartiles, a box and whisker plot can be created to visualize the spread and median distance traveled by customers.