Week 3 - STAT 218 Week #3 Chapters 5 and 6 (partial)...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
STAT 218 Week #3 Chapters 5 and 6 (partial) Questions from HW or previous Class? CHAPTER 5 Skip continuity correction material – pg 172 OVERVIEW OF SAMPLES – IT IS NOT BLACK AND WHITE Sampling Distributions and Sampling Variability Samples are not unique Samples of size n are not unique Larger samples lead to BETTER estimates o More confidence in our estimates o Or less variability in the estimate o Or some intuitive sense that the more we sample the better it is Estimation We estimate unknown population parameters by sample statistics o Means for quantitative variables o Proportions for most categorical variables Biased vs Unbiased Sampling o Why is unbiased good and biased bad? Duh! Random Sampling Model o Framework for UNBIASED estimation of population parameters Review – PARAMETER VS STATISTICS STATISTIC – A characteristic of the sample PARAMETER - A characteristic of a population Both populations and samples have means, medians, standard deviations, etc. o Populations Have a distribution but the mean, standard deviation, and the key statistics DO NOT CHANGE o Samples Each Sample has a distribution It does change from sample to sample The collection of possible samples has a distribution because they are not unique Sample Statistics are used to estimate population parameters when population characteristics are not known 1
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Symbols that are used to denote parameters and statistics differ – refer to page 64 of textbook Pictorial representation of a population One possible sample Another… and another, and….an unlimited number of possibilities DIGRESSIOM – THEREARE THREE MAIN TYPES OF DATA WE WILL STUDY IN THIS CLASS / THREE DISTRIBUTIONS Three types of data Binominal Data – Categorical Data with two Outcomes – success/ failure Other Categorical Data – with three or more Outcomes
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 05/07/2008 for the course STAT 218 taught by Professor Staff during the Spring '08 term at Cal Poly.

Page1 / 5

Week 3 - STAT 218 Week #3 Chapters 5 and 6 (partial)...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online