LFS 252 Lecture Notes - Lecture 1: Stratified Sampling, Royal Institute Of Technology, Group Selection

• School: UBC
• Department: Land & Food Systems
• Course: LFS 252
• Professor: Suvaporn Phasuk

Document Summary

Chapter 1: the nature of probability and statistics. The science of conducting studies to collect, organize, summarize, and anaylze and draw conclusions from data. Descriptive statistics: process of collecting, organizing, summarizing, and presenting data. Inferential statistics: generalizing from sample to population performing estimations and hypothesis tests, determining relationships among variables and making predictions. Variable: characteristic or attribute of that element capable of assuming any value within the data set. Random variables: variables whose values are determined by chance. Sample: group of subjects selected from a population. Parameter: represents data results obtained from population data. Statistic: represents data results obtained from sample data. Classifications of variables: qualitative: non-numeric data that can be categorized according to characteristic or attribute, words/ sentences, quantitative variable: numeric data that can be ordered, ranked, or, gender, hair colour, letter grade measured, values, age, height, weight. Quantitative variable subgroups: discrete ( quantitative) variable: numeric data that can be counted, such as.