HSS 2381 Lecture Notes - Lecture 1: Statistical Inference, Qualitative Property, Descriptive Statistics

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 2381
• Professor: Pascal Fallavolita

Document Summary

Parameters and statics: parameter: numerical description of a population characteristic, statistic: numerical description of a sample characteristic. Branches of statistics: there are two major branches of statistics, descriptive statistics: involves the organization, summarization, and display of data. Inferential statistics: involves using a sample to draw conclusions about a population. Data classification: types of data, there are two types of data, qualitative data: consists of attributes, labels or nonnumerical entries, quantitative data: consists of numerical measurements or counts. Levels of measurement: there are four levels of measurement, nominal: calculated using names, labels, or qualities. No mathematical computations can be made at this level (qualitative: ordinal: arranged in order, the different between data entries are not meaningful (qualitative) Data: demographic, age, any information that you collect. Statistics: science of collecting, organizing, analyzing and interpreting data. Inferential: how can we refer to the general population. Nominal and ordinal are qualitative and interval and ratio are quantitative.