Answer:
• (a)900 test scores
,• (b)1350 test scores
Explanation:
Part A
First, determine the number of test scores below Q2
[tex]\begin{gathered} 50\%\text{ of }1800=\frac{50}{100}\times1800 \\ =\frac{1}{2}\times1800 \\ =900 \end{gathered}[/tex]If a sample consists of 1800 test scores, 900 of them would be at or below the second quartile (Q2).
Part B
Next, determine the number of test scores above Q1.
Since 25% of the test scores are below Q1, 75% of the test scores will be above Q1.
[tex]\begin{gathered} 75\%\text{ of }1800=\frac{75}{100}\times1800 \\ =\frac{3}{4}\times1800 \\ =1350 \end{gathered}[/tex]If a sample consists of 1800 test scores, 1350 of them would be at or above the first quartile (Q1).