26134 Lecture Notes - Lecture 1: Central Limit Theorem, Conditional Probability, Mutual Exclusivity
Document Summary
Lecture 1 - introduction and types of data. Primary data - information from original sources collected for a specific purpose. Secondary data - information that already exists and has been collected for another purpose (cid:523)e. g. abs rba, oecd, un info ect (cid:524) Sample a representative subsection of a population. Inferential statistics - draw conclusions and make predictions about the population based on the descriptions of the sample data: precision confidence quantify, save time, money and resources. Exploratory data analysis (eda) summarize and highlight key characteristics of the data usually with the aid of visual graphs. 4 different ways of categorizing data: nominal, categorical or count/frequency, ordinal, arrangeable sorting/ranking the outcome (e. g. from highest to lowest, looking at median, mode range etc . 3 distributions for qualitative data use frequency, relative frequency, percent: pie charts used to display categorical data. Proportions representing: xy scatter plot used for identifying relationships between two variables.
