STA220H1 Study Guide - Midterm Guide: Royal Institute Of Technology, Richter Magnitude Scale, Systematic Sampling

• School: UTSG
• Department: Statistical Sciences
• Course: STA220H1
• Professor: Augustin Vukov

Document Summary

1. 1 the science of statistics: statistics: science dealing with collection, classi cation, analysis, interpretation of info/data, involves collection, classifying, summarizing, organizing, analyzing, presenting, interpreting numerical and categor- ical info. E. g. graphics, pie charts, average, spread, range, frequency, histogram, median, scatter plot, mode, in- terquartile range: inferential statistics: utilizes sample data to make estimates, decisions, predictions, other generalizations about larger set of data. E. g. hypothesis test, con dence interval, ordinary least squares. Any particular characteristic may vary among units in population: in studying particular variable, helpful to obtain numerical representation for it. Numerical representations not readily available, measurement plays important role: measurement: process we use to assign numbers to variables of individual population units. Conducting census would be prohibitively time consuming/costly. Alternative: select and study subset/portion of units in population: sample: subset of units of population. Use info in sample to learn about larger population. When single variable of interest measured, usage causes confusion.