STA215H5 Lecture Notes - Lecture 1: Statistical Inference

• School: UTM
• Department: Statistics
• Course: STA215H5
• Professor: Samantha Jo-Caetano

Document Summary

Statistics: collecting, analyzing and interpreting data, presenting data in effective/clear way, quantitative reasoning required. Unit 1: descriptive & inferential statistics, population vs sample, types of variables. Unit 1 objectives: identify difference between differential and inferential statistics in word problems, come up with examples for differential and inferential statistics, be able to categorize different variables as categorical or numerical. Descriptive statistics: describing data for the specific group you have direct access to. The data that is collected pertains directly to the group being studied, not applied to a larger/generalized group. Inferential statistics: using data from a sample and using it to make predictions about larger population. Usi(cid:374)g data fro(cid:373) a s(cid:373)all group a(cid:374)d (cid:862)ge(cid:374)eralizi(cid:374)g(cid:863)/(cid:863)i(cid:374)ferri(cid:374)g(cid:863) that it refle(cid:272)ts a populatio(cid:374) Sample: small group taken from population; can directly observe and collect data from: should represent the population, a number/measure from a sample is called a statistic.