Statistical Sciences 1024A/B Lecture Notes - Lecture 2: Statistical Inference, Descriptive Statistics, Inductive Reasoning
10 Jan 2020
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Document Summary
Introduce descriptive, inferential statistics and probability and how they are all related. Introduce methods of presenting data using descriptive statistics including graphs. Deals with the collection, organization, presentation, analysis and use of data to make decisions and solve problems. Descriptive: methods to summarize and describe features of data (population or sample) Once information has been collected and organized, we need to find a way to present it. Probability: methods for using known properties of a population to draw conclusions about a sample (deductive reasoning) Inferential: methods to go beyond and make conclusions (inductive reasoning) Population: collection of individuals that are the topic of interest. Census: when desired information is gathered for all individuals in the population, getting information from every single individual in the population. Sample: portion of the population taken instead of the census, but larger samples give better readings for the entire population (greater representation), more efficient on the resources of the population.
