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Explanation:

Identify the five-number summary values

Using the Box-and-Whisker Plot knowledge point

  • The problem states that about \(75\%\) of students studied no more than \(6.5\) hours per day. In a box-and-whisker plot, the third quartile \(Q_3\) represents the \(75\text{th}\) percentile. Thus, \(Q_3 = 6.5\).
  • Part (b) states that about \(50\%\) of students studied more than \(4.5\) hours per day. The median \(Q_2\) divides the data into two halves (\(50\%\) above and \(50\%\) below). Thus, the median \(Q_2 = 4.5\).

Determine the value of the first quartile

Using the Five-Number Summary knowledge point

  • A standard box-and-whisker plot is divided into four quarters, each containing approximately \(25\%\) of the data:
  • Minimum to \(Q_1\): \(25\%\)
  • \(Q_1\) to \(Q_2\) (median): \(25\%\)
  • \(Q_2\) to \(Q_3\): \(25\%\)
  • \(Q_3\) to Maximum: \(25\%\)
  • Looking at the values given in parts (a) and (b), the key boundaries are \(Q_3 = 6.5\) and \(Q_2 = 4.5\).
  • Part (c) asks for the likelihood that a randomly selected student studied less than \(2\) hours per day.
  • In this dataset's box-and-whisker plot, the first quartile \(Q_1\) is located at \(2\) hours.

Calculate the likelihood for part (c)

Using the Percentiles and Quantiles knowledge point

  • The value \(2\) corresponds to the first quartile \(Q_1\).
  • By definition, the first quartile \(Q_1\) represents the \(25\text{th}\) percentile of the dataset.
  • Therefore, approximately \(25\%\) of the data values lie below \(Q_1 = 2\).
  • The likelihood of selecting a student who studied less than \(2\) hours per day is about \(25\%\).

Answer:

  • 25% (Correct answer)
  • 30%
  • 75%
  • 40%
  • 10%
  • 50%
  • 60%