AP Statistics is a rigorous college-level course designed to introduce students to the principles and methods of statistical inference. This course emphasizes data analysis, interpretation, and communication of statistical results.
Key Topics:
Data Collection: Exploring methods of data collection, including surveys, experiments, and observational studies.
Data Exploration: Analyzing and summarizing data using descriptive statistics, such as measures of center, variability, and shape.
Probability: Understanding the concept of probability and its applications in statistical inference.
Sampling Distributions: Studying the properties of sampling distributions and their role in statistical inference.
Confidence Intervals: Constructing and interpreting confidence intervals for population parameters.
Hypothesis Testing: Conducting hypothesis tests to assess claims about population parameters.
Inference for Proportions: Applying statistical inference to categorical data, including hypothesis testing and confidence intervals for proportions.
Inference for Means: Applying statistical inference to numerical data, including hypothesis testing and confidence intervals for means.
Regression Analysis: Analyzing relationships between variables using linear regression and correlation.
Experimental Design: Understanding the principles of experimental design, including randomization, blocking, and control groups.
Prerequisites: Successful completion of Geometry or a higher-level mathematics course is recommended.
