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How to interpret box and whisker plot
How to interpret box and whisker plot










The highest and lowest numbers in your data can sometimes be outliers. Whiskers are lines that identify numbers outside of the average results. You draw boxes to connect the first quartile to the third quartile, with the boxes representing the averages of your data. Dividing the information in this way helps you input the data onto the plot. When you create a box and whisker plot, separate your data into quarters, called quartiles. It also helps determine outliers in your data. It takes a large amount of numbers and simplifies them into averages so data is easily understood. Related: Research Associate Resumes 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 explain the purpose of box and whisker plots and the steps that you can take to create one.

#How to interpret box and whisker plot how to

Once you learn how to create box and whisker plots and how to interpret them, you may find your data to be more digestible. Box and whisker plots are one method of organizing data that makes information easier to consume. I hope this video about box and whisker plots was helpful.A large amount of data can be best understood through a visual representation. This team member ran 8 miles during the week. There is one injured team member, represented by the outlier. Are there any injured team members? If so, how many miles did he or she run during the week? (Injured team members run significantly fewer miles than the majority of the team.) Therefore, the lower and upper quartile together contain approximately 50% of the data in the data set.ģ. Each quartile includes approximately 25% of the data in the data set. What percentage of team members ran between 33 and 48 miles during the week?ĥ0% of team members ran between 33 and 48 miles during the week. Since the maximum in this data set is 56, the greatest amount run by one team member during the week is 56 miles.Ģ. The greatest amount of miles run is the maximum. What is the greatest amount run by one team member during the week? Given this information, answer the following questions:ġ. The graph also shows one outlier, which is 8. The data is displayed on the box and whisker plot below: Let’s consider a scenario and interpret a box and whisker plot to answer some questions about the data.Ī cross country team kept track of how many miles each team member ran per week. For these reasons, researchers and mathematicians use them to visually summarize quantitative data. Additionally, they split the data into chunks of 25%.Ī box and whisker plot shows the shape of the distribution, its variability, and its central value. Draw another horizontal line extending from the right of the box to the maximum, which is 86.īox and whisker plots are useful ways to display quantitative data because they’re easy to read. Draw one horizontal line extending from the left of the box to the minimum, which is 70. Last, draw the whiskers extending to the minimum and maximum values. From here, draw the vertical line at 80.5 to represent the median.

  • The lower quartile (called \(\text_3\) value at 84.
  • The minimum, or lowest number in the data set.
  • These values are also called the five-number summary of a set of data when ordered from least to greatest. The graph of a box and whisker plot involves plotting five data values. A box and whisker plot, also called a box plot, is a type of graph that displays quantitative data.

    how to interpret box and whisker plot

    Mathematicians use graphs to illustrate data sets. For instance, class scores on a math test are a data set. First, a data set is a collection of numbers that relate to a specific topic. We’ll also discuss when to display data with a box and whisker plot.īefore we get started, let’s review a few things.

    how to interpret box and whisker plot

    Hello, and welcome to this video about box and whisker plots! Today we’ll learn how to interpret box and whisker plots to answer questions about data.










    How to interpret box and whisker plot