AP Statistics

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What is the AP Statistics Exam?

The advanced placement exam is one of the most important factors in determining college readiness. Achieving a 5 on AP Statistics is the final goal of test takers like yourself and intellADAPT's Adaptive AP Statistics Course can help you achieve that goal.

Additionally, acing the AP Statistics test not only proves that you are prepared for college level courses but it also reduces the cost of college by eliminating a course that most colleges require as a prerequisite.

What is our course about?

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The purpose of this course is to introduce students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students are exposed to four broad conceptual themes:

  • Exploring Data: Describing patterns and departures from patterns.
  • Sampling and Experimentation: Planning and conducting a study.
  • Anticipating Patterns: Exploring random phenomena using probability and simulation.
  • Statistical Inference: Estimating population parameters and testing hypotheses.

Students who successfully complete the course and examination may receive credit and/or advanced placement for a one-semester introductory college statistics course. This does not necessarily imply that the high school course should be one semester long. Each high school will need to determine the length of time for its AP Statistics course to best serve the needs of its students. Statistics, like some other AP courses, could be effectively studied in a one-semester, a two-trimester, or a one-year course. Most schools, however, offer it as a two-semester course.

Course objectives

This course will help you develop a deep understanding of the fundamental concepts of statistics while gaining experience in solving problems. After completing the course successfully, you will:

  • Understand fundamental concepts of statistics.
  • Develop competency to apply principles to solve problems.
  • Prepare you completely for the Advanced placement exams in Statistics.

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What does our course focus on?

This course covers the following topics:

  1. Exploring Data: Describing patterns and departures from patterns (20%–30%)
    Exploratory analysis of data makes use of graphical and numerical techniques to study patterns and departures from patterns. Emphasis should be placed on interpreting information from graphical and numerical displays and summaries.
    • Constructing and interpreting graphical displays of distributions of univariate data (dotplot, stemplot, histogram, cumulative frequency plot).
    • Summarizing distributions of univariate data.
    • Comparing distributions of univariate data (dotplots, back-to-back stemplots, parallel boxplots).
    • Exploring bivariate data.
    • Exploring categorical data.
  2. Sampling and Experimentation: Planning and conducting a study (10%–15%)
    Data must be collected according to a well-developed plan if valid information on a conjecture is to be obtained. This plan includes clarifying the question and deciding upon a method of data collection and analysis.
    • Overview of methods of data collection.
    • Planning and conducting surveys.
    • Planning and conducting experiments.
    • Generalizability of results and types of conclusions that can be drawn from observational studies, experiments, and surveys.
  3. Anticipating Patterns: Exploring random phenomena using probability and simulation (20%–30%)
    Probability is the tool used for anticipating what the distribution of data should look like under a given model.
    • Probability.
    • Combining independent random variables.
    • The normal distribution.
    • Sampling distributions.
  4. Statistical Inference: Estimating population parameters and testing hypotheses (30%–40%)
    Statistical inference guides the selection of appropriate models.
    • Estimation (point estimators and confidence intervals).

AP Statistics Exam

Our Adaptive Statistics Course focuses on the same subjects that the AP Exam tests for:

  • Module 1: Samples and Data Collection
  • Module 2: Organizing and displaying data
  • Module 3: Central Tendency and Variation
  • Module 4: Measures of Position
  • Module 5: The Normal Distribution (Bell Curve)
  • Module 6: Population Inference from Samples
  • Module 7: Confidence Intervals
  • Module 8: Hypothesis Testing
  • Module 9: Comparing Two Means
  • Module 10: Correlation

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Universities & Colleges

  • Mercy College
  • Óbuda University (Óbudai Egyetem)
  • Temple University
  • University of Massachusetts, Boston
  • University of Massachusetts, Lowell
  • University of South Bend, Indiana


  • Alabama A & M University


  • Lowell High School
  • Tri-County Early College High School
  • Westfield High School, Westfield MA
  • Hanson Regional School District