COMM 215 Midterm: Covers Chapter 1-6
8 Feb 2017
School
Department
Course
Professor
Document Summary
Comm 215 - lecture 1 - basics of statistics. Descriptive: describe data, do not conclude anything. Inferential: use tools & techniques to make inferences (ie conclude things based on the stats) Descriptive stats are things like charts, graphs & numerical measures. Estimation (eg estimate mean weight using sample weight) Hypothesis testing (eg use evidence from sample to see if population weight is x based on info gathered from the sample) There are a limited # of possible answers. Open-ended - any answer is possible. (eg how much do you weigh?) Demographic - relate to attitudes, background, characteristics. Population: the set of all objects of interest (ex: all students in canada) Sample: a subset of the population (ex: students in canada who attend mcgill) Parameters (average, proportion, etc) are computed from an entire population. Statistics (average, proportion, etc) are computed from a sample. Nonstatistical: use convenience, judgement, or other non-chance methods.
