Approximate the answers by referring to the box plot. Box Plot A.K.A. Box-And-Whisker Plot IQR = Interquartile Range: You can calculate outliers using IQR: Calculate the IQR for each data set. Find the limits (“fences”) for outliers. Are there any outliers? 9. 10. Approximate the answers by referring to the box plot. 1. What is the range of the data? 2. What is the median of the data? 3. What is the lower quartile? 4. What is the upper quartile? 5. How much of the data is located between 110 and 140? 6. How much of the data is located between 70 and 110? 7. What is the IQR? 8. What are the limits (fences) for outliers on either end? Min 5 Q1 10 Med 14 Q3 22 Max 34 Min 10 Q1 20 Med 23 Q3 25 Max 30

Creating a Box Plot from a set of data 1. Put your data in order. 2. Create a Five-Dot Summary for your data. NOTE: The median is NEVER included as a data point when calculating the upper or lower quartiles. 3. Calculate the IQR to see if your data set includes any outliers. NOTE: If there are outliers, identify the “fences”, draw the whiskers to extend only to the least and greatest data values that lie within the fences, and show any outliers as individual dots. 4. Create a number line to fit your data. A number line must include tick marks and count consistently. 5. Plot your dots from your Five-Dot Summary above (or below) your number line (NOT ON IT). 6. Connect the dots with a box and whiskers (there should be a vertical line at the median). 7. Label each of your five dot data values. (Use vocabulary as well, if instructed to do so. Usually on CRT Free Response type questions!) 10. Create a box plot from the following data. 11. Create a box plot from the data below. 20, 40, 30, 30, 60, 70, 60 Min Q1 Med Q3 Max 1, 3.4, 3, 3.7, 5, 4.2, 7, 4.4 Min Q1 Med Q3 Max