The approximate data for "Australia" are as follows: 5 minutes, 1 dot 7 minutes, 1 dot 9 minutes, 1 dot 15 minutes, 2 dots 20 minutes, 3 dots 25 minutes, 1 dot 45 minutes, 1 dot. The interquartile range of a data set is the middle fifty percent of the data set found between the first and third quartiles. The approximate data for "Canada" are as follows: 1 minute, 1 dot 2 minutes, 1 dot 5 minutes, 2 dots 7 minutes, 2 dots 10 minutes, 1 dot 15 minutes, 1 dot 28 minutes, 1 dot 30 minutes, 1 dot. (A complete explanation of Q1 is here: The five number summary.) Step 2: Find Q3. Step 2: Separate the lower and upper half of the data set into two groups. Step 1: Order the values in the data set from least to greatest. In the above graph, Q1 is approximately at 2.6. Steps for Finding the Interquartile Range for a Data Set. Similarly, you can divide the data into quarters. To visualize it, think about the median value that splits the dataset in half. The interquartile range is the middle half of the data. Step 1: Find Q1.Q1 is represented by the left hand edge of the box (at the point where the whisker stops). Learn how you can use the range to estimate the standard deviation using the range rule of thumb. Example question: Find the interquartile range for the above box plot. The approximate data for "United States" are as follows: 2 minutes, 2 dots 7 minutes, 2 dots 8 minutes, 3 dots 11 minutes, 1 dot 17 minutes, 1 dot 20 minutes, 1 dot. Box Plot interquartile range: How to find it. There are also tick marks midway between. Each dot plot has the numbers 0 through 60, in increments of 10. Interquartile range is used to calculate the difference between the upper and lower quartiles in the set of give data. \( \newcommand\): Five dot plots for "travel time in minutes" labeled “United States”, “Canada”, “Australia”, “New Zealand”, and “South Africa”.
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