QMS 102 Lecture Notes - Lecture 1: Statistical Inference, Level Of Measurement, Descriptive Statistics

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: Nursel Ruzgar

Document Summary

Statistics is a way to get information from data i. e. political polls, customer surveys, interest rates, ecn. Data: facts, especially numerical facts, collected together for reference or information. List of last term"s marks: 95,89,70, 65, 78, 57, = mean, median, mode = new information, aka. Median, how are marks distributed, average of class, etc. Population: group of all items of interest to the statistics practitioner (all the members of. A population is the entire set of all items under study. Parameter: a descriptive measure of a population (mean number of soft drinks sold at ry u every week. ) In most applications of inferential statistics, the parameter represents the information we need. The proportion of the 5 million florida voters that voted for bob. Sample: a set of items drawn from the population (500 students surveyed) Sample is a set of data drawn from the population. Potentially very large, but less than the population.