STA 2023 Lecture Notes - Lecture 4: Pie Chart, Bar Chart, Central Tendency
Document Summary
Why study statistics: to learn methods of data collection, data analysis, understanding of journal articles and news stories. The observations gathered through methods such as surveys, experiments, direct observation of behavior, or recorded information. Statistics provides methods for: design - planning and carrying out research studies, description. Descriptive statistics -- summary descriptions such as measures of center and variation (used to. Inferential statistics -- drawing conclusions about the population based on a sample describe data) 5 fundamental elements of statistics: population: set of all units, variable: characteristic of an individual population unit (quantitative or qualitative, sample: subset of the population. 4: measure of reliability: degree of uncertainty. Inference: say something about the population based on a randomly chosen sample. Variable: adults that believe they will receive social security. Inference: % of all american adults that believe they will receive social security. Parameter: numerical summary of the population (these are usually unknown)
