Drill 3 · Math · Statistics and Probability
ACT Math: Statistics and Probability (Drill 3) is a Math practice drill covering Statistics and Probability. It contains 5 original questions created by Brian Stewart, a Barron's test prep author with over 20 years of tutoring experience.
This ACT Statistics and Probability drill covers reading and interpreting frequency tables, calculating weighted averages from grouped data, applying geometric probability, computing probability without replacement, and analyzing the shape, center, and spread of a data distribution.
Question 1. The frequency table below shows the number of hours per week that 30 students spend studying.
Hours per week Students
0, 2 4
3, 5 9
6, 8 11
9, 11 6
What fraction of students study 6 or more hours per week?
Explanation: Students studying 6 or more hours per week fall in the 6–8 and 9–11 categories: 11 + 6 = 17. Total students = 30. Fraction = 17/30. Choice A counts only the 6–8 group (11) and ignores the 9–11 group. Choice C gives 18/30 = 3/5, adding 11 + 7 instead of 11 + 6, a reading error in the 9–11 row. Choice D gives 15/30 = 1/2, perhaps from computing 9 + 6 = 15 and using the 3–5 group count instead of the 6–8 group count.
Question 2. In a class, the final grade is computed as follows: homework counts 20%, quizzes count 30%, and the final exam counts 50%. A student earns an 80 on homework, a 70 on quizzes, and a 90 on the final exam. What is the student's final grade?
Explanation: Weighted average = (0.20)(80) + (0.30)(70) + (0.50)(90) = 16 + 21 + 45 = 82. Choice A results from computing the simple (unweighted) average: (80 + 70 + 90) ÷ 3 = 80. Choice C results from a small arithmetic error in one of the components, such as computing (0.30)(70) = 22 instead of 21: 16 + 22 + 45 = 83. Choice D results from computing the weighted average with equal weights of 1/3 each but applying the 50% weight to the highest score twice: (80 + 70 + 90 + 90) ÷ 4 = 330 ÷ 4 = 82.5 ≈ 85 via rounding error.
Question 3. A square dartboard has a side length of 20 inches. A circular target is painted in the center of the board with a radius of 5 inches. Assuming a dart lands at a uniformly random point on the board, what is the probability that it lands inside the circular target? (Use π ≈ 3.14)
Explanation: Geometric probability = favorable area ÷ total area. Area of circle = π(5)2 = 25π ≈ 78.5 in2. Area of square = 202 = 400 in2. Probability = 78.5 / 400 ≈ 0.196. Choice A (0.25) results from computing the ratio of the radius to the side length: 5/20 = 0.25, treating this as a linear ratio rather than an area ratio. Choice C (0.785) results from computing π(5)2 / π(10)2 = 25/100 = 0.25... no, 0.785 ≈ π/4, which is the probability if the circle's diameter equaled the board's side (radius = 10): π(10)2 / 400 = 314/400 = 0.785. Choice D results from computing the circle area using the diameter (10) instead of the radius (5), then dividing by the wrong total: π(5)2 / 4002 ≈ 0.049.
Question 4. A drawer contains 6 black socks and 4 white socks. Two socks are drawn one at a time without replacement. What is the probability that both socks are black?
Explanation: P(first sock is black) = 6/10. After drawing one black sock, 5 black socks and 4 white socks remain (9 total). P(second sock is black | first was black) = 5/9. P(both black) = (6/10)(5/9) = 30/90 = 1/3. Choice A results from treating the draws as independent (with replacement): (6/10)2 = 36/100 = 9/25. Choice C is the same error as A expressed as 36/100 before simplifying. Choice D results from computing (6/10)(5/9) but simplifying to 30/90 as 8/15 via an arithmetic error, or from computing (6 + 5) / (10 + 9) = 11/19 and misreading as 8/15.
Question 5. A teacher records scores on a 50-point quiz for 20 students. The scores are summarized below.
Score Range Students
10, 19 1
20, 29 2
30, 39 5
40, 49 9
50 3
Which of the following best describes this distribution?
Explanation: The frequencies increase as scores increase: 1, 2, 5, 9, 3. The bulk of the data (12 of 20 students) is in the 40–50 range, with a long tail stretching toward the lower scores. This is a left-skewed (negatively skewed) distribution, the tail points to the left (toward lower values) and most scores are concentrated at the high end. Choice A is incorrect: a symmetric distribution would have roughly equal frequencies above and below the center. Choice B confuses the direction: "skewed left" is correct but "concentrated at the low end" is backwards, in a left-skewed distribution, the bulk of the data is at the HIGH end, with the tail pointing left. Choice C describes a right-skewed distribution, in which the tail points right and most scores cluster at the low end, the opposite of what we see here.