[SDS 306] - Midterm Exam Guide - Comprehensive Notes for the exam (75 pages long!)

• School: UT-Austin
• Department: Statistics and Data Sciences
• Course: SDS 306
• Professor: Manheimer Jerry

Document Summary

Data: any collection of numbers, characters, images, or other items that provide information about something, data vary: surveys and experiments produce a variety of outcomes, consists of cases and variables, cases can be: Participants: people who are experimented or surveyed. Experimental units: the object of the experiment when it. Variables are the attributes that are measured on the cases. Statistics helps us make sense of the data: summarize data, make inferences and/or predictions based on the data. The population is the collection of all data values of interest. Information about the population is usually the goal; However obtaining all data values from the population is usually impossible. Descriptive statistics: used to describe/summarize data we have, e. g. , , compute mean (average) of scores, compute frequencies, percentiles, etc. A variable is an attribute of people or things. The word variable comes from the fact that the measurements vary from person to person or from case to case.