About AP Statistics

AP Statistics is an undergraduate course that aims to educate students on how to collect, analyze, and interpret data.The course provides both theory and practicality and helps prospective students who may later pursue studies in mathematics, economics, psychology, biology, political science, business and other data-driven subjects.Students have the opportunity to learn how to design surveys and experiments, probability models, and inferential methods to solve real-life problems.

AP Statistics Course Units

The AP Statistics course follows the AP Exam model and has been divided into four major units.

• Unit 1: Exploring One- and Two-Variable Data (15–25% Exam Weighting)
  • 1.1: Introduction to Data and Variables
  • 1.2: Graphical Representations - dot plots, histograms, box plots
  • 1.3: Numerical Measures - mean, median, IQR, standard deviation
  • 1.4: Comparing Distributions and Identifying Outliers
  • 1.5: Scatterplots, Correlation, and Least-Squares Regression
  • 1.6: Residuals and Interpretation of Regression Lines
• Unit 2: Collecting Data (10–15% Exam Weighting)
  • 2.1: Sampling Methods - Random, Stratified, Cluster, Systematic
  • 2.2: Bias and Sources of Error
  • 2.3: Designing Experiments - Treatments, Control, Randomization, Replication
  • 2.4: Observational Studies vs Experiments
  • 2.5: Randomization and Simulation Based Methods
• Unit 3: Probability, Random Variables, and Probability Distributions (20–30% Exam Weighting)
  • 3.1: Rules of Probability and Conditional Probability
  • 3.2: Independence and Multiplication Rule
  • 3.3: Random Variables - Discrete and Continuous
  • 3.4: Binomial and Geometric Probability Models
  • 3.5: Normal Distribution and Z-Score
  • 3.6: Sampling Distribution and Central Limit Theorem
• Unit 4: Inference – Estimation and Hypothesis Testing (30–40% Exam Weighting)
  • 4.1: Confidence Intervals for Proportions and Means
  • 4.2: Significance Tests for Proportions and Means
  • 4.3: Chi-Square Test - Goodness-of-Fit, Homogeneity, Independence
  • 4.4: Inference for Slope in Regression Models
  • 4.5: Communicating Results and Drawing Conclusions in Context

Benefits of AP Statistics

• College-Level Preparation: Build statistical reasoning skills applicable to diverse fields including business, economics, psychology, and biology.
• Critical Thinking: Learn how to interpret data, assess reliability, and model uncertainty.
• Real-World Application: Apply statistical methods to real-life contexts such as elections, surveys, healthcare, and business decisions.
• Technology Integration: Use graphing calculators, spreadsheets, and simulations to analyze and model data.
• College Credit Opportunity: Earn college credit or advanced placement after achieving a qualifying AP Exam score.

What We Offer?

Students enrolled in our AP Statistics program receive:

• Structured, step-by-step notes for each topic.
• Calculator walkthroughs and practice using statistical tools.
• Real-life applications of probability and inference.
• AP-style FRQ/MCQ practice with detailed solutions.
• Full-length mock exams with score analysis.
• Ongoing feedback and performance improvement strategies.