AP Curriculum

AP Statistics Tutor Online

OUR PROGRAMS INCLUDE
Description

The AP Statistics course is equivalent to a one- semester, introductory, non- calculus- based college course in statistics. The course introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. There are four themes in the AP Statistics course: exploring data, sampling and experimentation, anticipating patterns, and statistical inference. Students use technology, investigations, problem solving, and writing as they build conceptual understanding. Review the course content in the next tab List of Topics.

Each student is assigned to an expert AP Statistics tutor to help them achieve success during their AP Stats course. This course is a blend of one-on-one AP Statistics help with a designated tutor, and self-guided study. Students have up to two live sessions per week with the AP Statistics tutor at an agreed upon time that works best for the student. Between the live sessions, students can find AP Statistics help via lectures, online resources, AP Statistics practice tests, and more. When students are on their own, they’ll be tasked with computer-based activities and assignments to help to reinforce concepts taught during the course. Students and parents can keep an eye on the student’s progress and access graded assessments online, which include chapter quiz, midterm exams, and a cumulative final.

  1. Strong Foundations in Mathematics, Understand:
    1. Numbers and the Number Line
    2. Operations on Numbers
    3. Sets, Venn Diagrams, Set Notation, Union of Sets, Intersection of Sets
    4. Equations and Inequalities
    5. Read Tables and Graphs, Approximate Area
    6. Graph Points and Lines
  2. Understanding of Data Concepts:
    1. Data Presentation
    2. Interquartile Range
    3. Measures of Central Tendency
    4. Display One-Variable Data Graphically
    5. Stem-Leaf Plots
    6. Box-Whisker Plots
    7. Symmetric Distribution of Data
    8. Concept of Normal Distribution of Data
  • Chapter 1 – Exploring Data
  • Chapter 2 – Introduction to Bivariate Data
  • Chapter 3 – Exploring Bivariate Data
  • Chapter 4 – Categorical Data
  • Chapter 5 – Sampling and Experimentation
  • Chapter 6 – Patterns
  • Chapter 7 – The Normal Distribution
  • Chapter 8 – Sampling Distributions
  • Chapter 9 – Statistical Inference

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