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SAEE Analytical Reasoning & Data Interpretation Flashcards

6 cards from real SAEE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. A table shows enrollment trends: Year 1 (5,000), Year 2 (5,250), Year 3 (5,512), Year 4 (5,788). Which pattern best describes the enrollment growth?

    Answer: Approximately 5% compounding growth each year

    Each year increases by roughly 5% of the previous year's total (250, 262, 276), indicating consistent compounding growth.

  2. A scatter plot of hours studied versus exam scores shows a correlation coefficient of r = 0.85. Which interpretation is most accurate?

    Answer: There is a strong positive linear relationship between study hours and exam scores

    An r value of 0.85 indicates a strong positive linear association, but correlation does not establish causation.

  3. A school survey finds that 30 out of 150 teachers prefer online professional development, while 200 out of 500 support staff prefer it. What is the relative risk of preferring online PD for teachers compared to support staff?

    Answer: 0.50

    Teachers' rate is 30/150 = 0.20 and support staff rate is 200/500 = 0.40, so the relative risk is 0.20 ÷ 0.40 = 0.50.

  4. An administrator reviews quarterly discipline referrals: Q1 (180), Q2 (150), Q3 (90), Q4 (120). What is the percentage decrease from Q1 to Q3?

    Answer: 50%

    The decrease from 180 to 90 is 90 referrals, and 90 ÷ 180 = 0.50, which is a 50% decrease.

  5. A dual-axis line graph displays average class size on one axis and student achievement scores on the other over five years. Class sizes decreased from 28 to 20 while achievement scores rose from 65 to 78. Which conclusion is most appropriate?

    Answer: There is an inverse association between class size and achievement, but other factors may contribute

    The data show an inverse association, but without controlling for other variables, a causal conclusion cannot be drawn.

  6. A frequency table shows student absences per semester: 0-2 days (40%), 3-5 days (30%), 6-8 days (18%), 9+ days (12%). If there are 500 students, how many had more than 5 absences?

    Answer: 150

    Students with more than 5 absences fall in the 6-8 day (18%) and 9+ day (12%) categories, totaling 30% of 500 = 150 students.