![]() ![]() By viewing more than one box plot side by side, you can easily understand different data sets as they relate to one another. Box plots make it faster to identify data trends and differences. ![]() If outliers are important data in your studies, box plots are one of the best methods to use. Many other types of graphs do not show outliers. Using quartile groups, you can identify which category pertains to each set of data. Whereas other graphs show you individual changes among data, you can use box and whisker plots to identify trends as a whole. This is useful when comparing large amounts of data in which the information could lose its meaning using other types of graphs. Box and whisker plots use less space in comparison to other types of data graphs and charts. Here are a few key advantages that box and whisker plots offer: Related: Data Analysis: Definition, Types and Benefits What are the benefits of a box and whisker plot? If these numbers are far enough away from your averages, you can use dots to represent them. The highest and lowest numbers in your data may be outliers. Whiskers are the lines that identify numbers outside of the average results. Then, you can draw boxes to connect the first and third quartiles, and the resulting boxes represent the averages of your data. Dividing the information in this manner helps you input the data into the plot. It also helps determine outliers within the data you have.Ī box and whisker plot contains data that you separate into distinct quartiles. It takes multiple numbers and simplifies them into averages so that a viewer can more easily interpret a dataset. What is a box and whisker plot?Ī box and whisker plot, or box plot, is a diagram that visually displays data. In this article, we define what a box and whisker plot is and explain how to create one of your own. Understanding how to create a box and whisker plot can help you interpret a large set of data and make informed decisions. This kind of diagram lets viewers see the median, maximum, minimum and outliers of a dataset. These 5 points can be used to describe the data.Many professionals use box and whisker plots to organize and display data. There are 5 key points shown on a box and whisker plot: 25% is before the box and 25% is after the box. The whiskers also represent 50% of the data. The box shows 50% of the data values that are located around the median. What percent of the hives brought in 63 pounds of honey or less?īecause 63 is the upper quartile, that means that 25 % of the hives brought in more and 75% brought in less.īox Plots are a unique way of displaying data using medians. What percent of the hives brought in 63 pounds of honey or more? Question #2: What percent of the hives brought in 56 or more pounds of honey?īecause 56 is the median, this means that 50% of the hives collected 56 pounds of more. The median amount of honey collected was 56 pounds. The largest amount of honey collected was 77 pounds. The smallest amount of honey collected was 52 pounds. Question #1: Give a 5 point summary of the data shown in the box plot. A long whisker shows that there was a larger range of answers. When the box is smaller, this shows that many people answered within a small range of times. Notice that in this example, 25% can be taken up be a very small box or a very long whisker. Each section is worth 25%, making 75% total.ħ5% of the people that responded also read for 40 minutes or more. _% of the people surveyed spent 40 minutes or more reading last night.įor the first blank, we have three sections of the graph at 50 or below. _% of the people surveyed spent 50 minutes or less reading last night. The box shows that 50% of the people asked spent between 40 and 50 minutes reading last night. Question #2: Explain what the box represents in the box and whisker plot. The median amount of time spent reading is 46 minutes. The most time spent reading is 74 minutes. The least amount of time spent reading is 25 minutes. Question #1: Give a 5 point summary from the data. This is just an example of some of the information we have been given. There are many other statements we could make. ĕ0% of the class scored between 30 and 70. ĕ0% of the class scored a 63% or higher. Ē5% of the class scored a 70% or higher. ![]()
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