AP Stats

Descriptive Statistics

Involves organizing, summarizing, and presenting data to understand typical values and variability.

Measures of Central Tendency

Mean, median, and mode provide insights into the typical values in a dataset.

Measures of Dispersion

Range, variance, and standard deviation quantify the spread or variability of data points.

Inferential Statistics

Allows drawing conclusions about a population based on a sample using hypothesis testing and confidence intervals.

Probability

Essential for understanding uncertainty and randomness, including basic concepts, rules, and distributions.

Types of Sampling Bias

Undercoverage, non-response, and volunteer biases affect the representation of a population in a sample.

Types of Response Bias

Loaded questions and false answers can lead to biased or misleading responses, impacting data validity.

Sample Measurement

Involves sampling techniques like random and stratified sampling to estimate population characteristics.

Population Measurement

Census, surveys, and statistical sampling methods are used to measure the total number of individuals in a specific area.

Simple Random Sample

Each member has an equal chance of selection, ensuring every possible sample of the same size has an equal chance of being chosen.

Stratified Random Sample

Population divided into subgroups (strata) based on characteristics, with random samples taken from each stratum for representation.