MCS 3030 Lecture Notes - Lecture 3: Central Limit Theorem, Simple Random Sample, International Motor Show Germany

• School: University of Guelph
• Department: Marketing and Consumer Studies
• Course: MCS 3030
• Professor: Theodore Noseworthy

Document Summary

**find info on this - no slides that day. A population is a collection of data whose properties are analyzed. The population is the complete collection to be studied, it contains all subjects of interest. A sample is a part of the population of interest, a sub-collection selected from a population. A parameter is a numerical measurement that describes a characteristic of a population, while a sample is a numerical measurement that describes a characteristic of a sample. In general, we will use a statistic to infer something about a parameter. In statistics, a sampling frame is the source material or device from which a sample is drawn. [1] it is a list of all those within a population who can be sampled, and may include individuals, households or institutions. Error: what this whole thing is about- why we do stats is to avoid error: random error: could be just about anything - we don"t know what they"re gonna be.