AP Statistics Full Mock Test 1: Introductory Exam Simulation
Take AP Statistics Full Mock Test 1: a balanced introductory simulation across all 9 units. Practice exam format, MCQ pacing, and FRQ statistical reasoning writing.
About Full Mock 1
Full Mock 1 is designed as an introductory full-length AP Statistics simulation. It is the ideal first mock exam for students who have completed all 9 units and are ready to experience the full exam structure before refining their approach through subsequent mocks.
What This Mock Covers
Mock 1 distributes questions evenly across all 9 units, providing a balanced first exposure to the full breadth of AP Statistics content in a timed exam setting. No single unit or topic area is overweighted — the goal is to help students build familiarity with format and pacing before focusing on targeted weaknesses.
Multiple-Choice Section
The 40 MCQ questions cover conceptual understanding (interpreting statistical output, identifying correct procedures, evaluating claims about data) as well as calculation-based items involving probability, normal distribution, and test statistics. Questions are distributed across units at approximately the same weightings used in AP Statistics course and exam frameworks.
Free-Response Section
The 5 shorter FRQ questions cover a range of topics including distribution description, confidence interval construction, hypothesis testing, and study design. The investigative task in Mock 1 is designed to be approachable for a first attempt — it integrates two to three units in a structured scenario that guides students through multi-step statistical reasoning.
Learning Goals for Mock 1
- Experience the full two-section, 180-minute exam format under realistic conditions
- Identify which unit areas produce the most MCQ errors
- Practice writing complete four-step FRQ responses under timed pressure
- Build comfort with the investigative task format before attempting more challenging versions in later mocks
After Mock 1: How to Review
After completing Mock 1, review each incorrect MCQ item by identifying whether the error was conceptual (wrong understanding of a procedure or interpretation) or procedural (calculation error). For FRQ items, compare your written responses to the rubric — looking specifically at whether your condition checks included numbers, whether your hypotheses used parameter notation, and whether your conclusions were tied to context.