STAT 1100 Study Guide - Final Guide: Bar Chart, Business Analysis, Cumulative Frequency Analysis
Document Summary
Statistics is the branch of mathematics that transforms numbers into useful information for decision makers. Basic vocabulary: descriptive statistics: the methods that help collect, summarise, present and analyse a set of data (passive). For example, collecting data via a survey, presenting it using tables and graphs and analysing it using the sample mean. The values can take on any value within a continuum/given interval. Examples temperature, weight and voltage (measured characteristics): note: some variables, such as age, can be categorical or numerical. Age as a number is numerical, but when defined as children, young adults, middle- aged persons or retirement- age, it becomes categorical. Thus, without operational definitions, variables are meaningless. Examples favourite soft drink, gender and political party affiliation. Examples product satisfaction, faculty rank and student grades. Chapter 2 organising and visualising data: Once you have defined your variables, you may need to collect the data for those variables.