MGMT 1050 Lecture Notes - Lecture 1: Summary Statistics, Statistical Hypothesis Testing, Sample Size Determination
Document Summary
Descriptive statistics: summary statistics to describe the data. Inferential statistics: making some inferences from the fata to act on. Study: impact of the new" york university metro station on the student life: population, all students of york university, study: growth of household income in canada, population, all canadians. First study: difficult, if not impossible, to get feedback from all york university students: sample: 40 students being interviewed. Second study: difficult, if not impossible, to calculate the household income in canada: sample: 1000 canadians are selected to analyze the change of their income. Population: the set of all items, populations are described by parameters. Sample: a subset from a population, samples are described by statistics. Observations: no controls, no hypothesis, the researcher has no control in assigning subjects to treatment or control groups. Experimental: hypothesis testing, control for exogenous factors. Treatment group: treatment is injected to each entity. Just used to compare the results of the treatment group.
