Interpreting Box Plots - Pre Algebra

  1. What five values make up the five-number summary shown in a box plot?
    The minimum, the first quartile Q1Q_1, the median, the third quartile Q3Q_3 and the maximum.
  2. About what percent of the data lies above the third quartile?
    About 25%25\%. The upper whisker covers the top quarter of the data.
  3. What part of a data set does the box of a box plot cover?
    The middle 50%50\% of the data, from the first quartile Q1Q_1 to the third quartile Q3Q_3.
  4. A box plot's whiskers extend from 2 to 11. What is the range of the data?
    99. Range is maximum minus minimum: 11−2=911 - 2 = 9.
  5. How is the interquartile range (IQR) calculated?
    IQR=Q3−Q1\text{IQR} = Q_3 - Q_1. It measures the spread of the middle half of the data.
  6. About what percent of the data lies between the first quartile and the median?
    About 25%25\%. The quartiles and median split the data into four parts with about one quarter in each.
  7. A box plot has Q1=30Q_1 = 30 and Q3=40Q_3 = 40. Using the 1.5×IQR1.5 \times \text{IQR} rule, is the value 58 an outlier, and why?
    58 is an outlier. The upper limit is 40+1.5(10)=5540 + 1.5(10) = 55, and 58 is greater than 55.
  8. A box plot of test scores has a median of 70. About what fraction of the scores are 70 or below?
    About half. The median splits the data into two halves.
  9. In a box plot, the right whisker is much longer than the left whisker. What does this suggest?
    The top quarter of the data is more spread out than the bottom quarter, so the data may be skewed right.
  10. A box plot has Q1=4Q_1 = 4 and Q3=8Q_3 = 8. What is the IQR?
    44. 8−4=48 - 4 = 4.
  11. A box plot has Q1=10Q_1 = 10 and Q3=20Q_3 = 20. Using the 1.5×IQR1.5 \times \text{IQR} rule, above what value is a data point an outlier?
    35. The IQR is 10, and Q3+1.5(10)=20+15=35Q_3 + 1.5(10) = 20 + 15 = 35.

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