STATS 1-3

Front: Inferential Statistics

Back: Making guesses (inferences) about a population based on a sample.

Example: Surveying 100 students and using results to predict what all Chaffey students prefer.

Front: Population

Back: The entire group you’re studying or interested in.

Example: All Chaffey College students.

Front: Sample

Back: A small group taken from the population.

Example: 200 Chaffey students surveyed out of thousands.

Front: Parameter

Back: A numerical summary that describes the entire population.

Example: 100% of dual enrollment students at Chaffey completed a survey.

Front: Statistic

Back: A numerical summary that describes a sample.

Example: 86% of sampled former students enrolled in transfer-level courses.

Front: Qualitative Variable

Back: Describes categories or qualities; not numbers.

Example: Car brand (Toyota, Honda), course type (CTE).

Front: Quantitative Variable

Back: Describes numerical amounts; you can do math with it.

Example: Car price, number of students, revenue earned.

Front: Discrete Data

Back: Countable numbers, whole values only.

Example: Number of cars = 3, 4, 5

Front: Continuous Data

Back: Measurable values that can include decimals; infinite precision.

Example: Car mileage = 45,234.6 miles