Interpreting Box Plots in Data Analysis

What is the primary purpose of using box plots in data analysis?

• To show the spread of data

• To determine the exact data values

• To display individual data points

• To calculate the mean of the data

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CCSS.6.SP.B.4

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How is the range of a data set calculated?

• Maximum value plus minimum value

• Maximum value divided by minimum value

• Maximum value minus minimum value

• Sum of all data values divided by the number of values

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CCSS.6.SP.B.4

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What does a larger range in a data set indicate?

• More concentrated data

• More spread out data

• Higher data values

• Lower data values

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CCSS.6.SP.A.2

What does the Interquartile Range (IQR) measure?

• The difference between the mean and median

• The average value of the data

• The spread of the middle 50% of data

• The total spread of the data

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How is the IQR calculated from a box plot?

• Subtracting Q1 from Q3

• Adding Q1 and Q3

• Dividing the sum of Q1 and Q3 by 2

• Subtracting the median from the total range

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CCSS.6.SP.B.4

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What does a longer whisker in a box plot indicate?

• Less variability in data

• Higher data values

• More concentrated data

• More variability in data

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CCSS.6.SP.B.4

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Can box plots be used to compare two different data sets?

• No, because box plots only show the mean of the data

• Yes, but only if the data sets have the same range

• Yes, using double box plots

• No, box plots are for individual data sets only

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CCSS.7.SP.B.4

What does the box part of a box plot represent?

• The total range of the data

• The highest and lowest data values

• The middle 50% of the data

• The data points outside the normal distribution

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CCSS.6.SP.B.4

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Is it possible to determine individual data points from a box plot?

• No, because box plots show exact data values

• Yes, by calculating the range

• No, box plots only show data spread

• Yes, by analyzing the whiskers

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CCSS.HSS.ID.A.1

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What percentage of data is represented from Q1 to Q3 in a box plot?

• 25%

• 50%

• 75%

• 100%

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CCSS.6.SP.B.4

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