ADMS 2320 Study Guide - Midterm Guide: Simple Random Sample, Random Variable, Real Number

• School: York University
• Department: Administrative Studies
• Course: ADMS 2320
• Professor: A L L

Document Summary

Statistics is a way to get information from data. Descriptive statistics is methods of organizing, summarizing, and presenting data. Inferential statistics describes the data set that is being analyzed, but does not allow us to draw any conclusions. Population is the group of all items of interest to statistics practitioner. Sample is a set of data drawn from the population. Statistical inference is the process of making an estimate, prediction, or decision of a population based on a sample. Rationale: large population; investigating each member is impractical and expensive. A variable is some characteristic of a population or sample. A value of the variable is the range of possible values for a variable. Data is the observed values of a variable. Nominal data: the values of data are categories (qualitative/categorical) Ordinal data: values have an order/ranking to them. Building a histogram: 1) collect data: create a frequency distribution for the data. Shapes of histograms: symmetry, skewness, modality, bell shape.