Math AP Statistics 16 Classes

This Course provides high school students with a comprehensive introduction to the principles and methods of statistical analysis.

Mathematics $11/Class Highschool Teens (13 - 18 Years) Individual
Total Session(s): 16 Session Duration: 60 mins (16 hour(s) course)
Math AP Statistics 16 Classes

$180.00

for full course (incl. taxes)
About Instructor
Hemamalya K P
Hemamalya K P

University rank holder in Mathematics and Statistics. Specializing in calculus, algebra, probability, and statistical analysis, I help students build strong conceptual foundations for success.

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The AP Statistics course introduces students to four main themes:

  1. Exploring Data: Understanding and summarizing data patterns using graphical and numerical methods.
  2. Sampling and Experimentation: Designing studies to collect valid data through random sampling and experimentation.
  3. Probability and Simulations: Exploring randomness and probability models to predict outcomes and understand variability.
  4. Statistical Inference: Making decisions and drawing conclusions using confidence intervals and hypothesis testing.

Through these themes, students learn to:

  • Analyze univariate and bivariate data to identify patterns and relationships.
  • Design experiments and surveys to avoid bias and ensure reliable results.
  • Use probability models to simulate and predict real-world scenarios.
  • Apply statistical techniques, such as t-tests and chi-square tests, to make data-driven decisions.

By the end of the course, students will:

  • Understand and apply fundamental statistical methods and concepts.
  • Make informed decisions using data and statistical reasoning.
  • Gain confidence in interpreting data presented in media, research, and everyday contexts.
  • Earn potential college credit or advanced placement with a high score on the AP Statistics exam.

This rigorous course is ideal for students interested in pursuing careers in science, technology, engineering, mathematics (STEM), economics, psychology, or any field where data-driven decisions are crucial.

You’ll be introduced to how statisticians approach variation and practice representing data, describing distributions of data, and drawing conclusions based on a theoretical distribution.

You’ll build on what you’ve learned by representing two-variable data, comparing distributions, describing relationships between variables, and using models to make predictions.

You’ll be introduced to study design, including the importance of randomization. You’ll understand how to interpret the results of well-designed studies to draw appropriate conclusions and generalizations.

You’ll learn the fundamentals of probability and be introduced to the probability distributions that are the basis for statistical inference.

As you build understanding of sampling distributions, you’ll lay the foundation for estimating characteristics of a population and quantifying confidence.

You’ll learn inference procedures for proportions of a categorical variable, building a foundation of understanding of statistical inference, a concept you’ll continue to explore throughout the course.

Building on lessons learned about inference in Unit 6, you’ll learn to analyze quantitative data to make inferences about population means.

You’ll learn about chi-square tests, which can be used when there are two or more categorical variables.

You’ll understand that the slope of a regression model is not necessarily the true slope but is based on a single sample from a sampling distribution, and you’ll learn how to construct confidence intervals and perform significance tests for this slope.

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