AP Statistics Course Outline

The main aim of the course is to provide introduction to the students to the major concepts as well as tools for collecting, analysing and drawing conclusions from data. Students are exposed to 4 broad conceptual themes like:

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

Those students who successfully complete the course as well as examination may receive credit and AP for a one-semester college statistics course. This does not essential to imply that the high school course should be one semester long. Each and Every high school will need to find the length of time for its AP Statistics course to best serve the needs of its students. Some other AP courses, statistics could be essentially studied in a one-semester, a two-trimester or a one-year course. Schools offer it as a two-semester course.

The course will focus on the topics given below:

Exploring Data: Describing patterns and departures from patterns (20%-30%)

  • Analysis i.e.Exploratory of data makes use of graphical and numerical techniques to study patterns and departures from patterns. More focus should be placed on interpreting of the information from graphical and numerical displays and summaries.
  • Constructing and interpreting graphical displays of distributions of univariate data like 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.

Sampling and Experimentation: Planning and conducting a study (10%-15%)

  • Data must be gathered 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.
  • Generalisations of results and types of conclusions that can be calculated from observational studies, experiments and surveys.

Anticipating Patterns: Exploring random phenomena using probability and simulation (20%-30%)

  • Probability is a tool that can be used for anticipation the distribution of data should look like under a given model.
  • Probability
  • Combining independent random variables
  • The normal distribution
  • Sampling distributions

Statistical Inference: Estimating population parameters and testing hypotheses (30%-40%)

  • Statistical inference guides the selection of appropriate models.
  • Estimation i.e.. Point estimators and confidence intervals.