STAT151 Lecture Notes - Lecture 1: Opata Language, Continuous Or Discrete Variable, Prenatal Care

• School: University of Alberta
• Department: Statistics
• Course: STAT151
• Professor: Omar Rivasplata

Document Summary

Example 2: o o o o o o o o o o how to collect it, how to organize it, summarize, and present data how to analyze and interpret data and to make decisions. Design: design refers to planning how to obtain data to answer the question of interest in a statistical study. Description: descriptive statistics refers to summarizing the data; the summaries usually consist of graphs and numbers such as averages and percentages. Inference: the process of making decisions and predictions based on the data is called statistical inference. Suppose we would like to know the average canadian income. A sample of n = 1000 canadians are surveyed about their incomes. Population: the entire set of elements about which information is wanted. Sample: a part or subset of the population used to gain information about the whole. Parameter: a numerical feature of a population; typically its value is unknown. Statistic: a numerical characteristic calculated from a sample.