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## STP 420 - Midterm 1 Study Guide

by: Kali Notetaker

168

1

13

# STP 420 - Midterm 1 Study Guide STP 420

Marketplace > Arizona State University > Mathematics (M) > STP 420 > STP 420 Midterm 1 Study Guide
Kali Notetaker
ASU
GPA 3.92
Introductory Applied Statistics
Dr. Samara

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Class: STP 420 - Introductory Applied Statistics School: Arizona State University Notes: Midterm 1 Study Guide (October 1st) Note: I have condensed the slides from chapters 1-3 and included ex...
COURSE
Introductory Applied Statistics
PROF.
Dr. Samara
TYPE
Study Guide
PAGES
13
WORDS
KARMA
50 ?

## Popular in Mathematics (M)

This 13 page Study Guide was uploaded by Kali Notetaker on Sunday September 27, 2015. The Study Guide belongs to STP 420 at Arizona State University taught by Dr. Samara in Summer 2015. Since its upload, it has received 168 views. For similar materials see Introductory Applied Statistics in Mathematics (M) at Arizona State University.

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Date Created: 09/27/15
Chapter 3 Continued Sampling Designs 0 Simple random samples SRS o The central principle of statistical sampling Random sampling is the use of chance to select a sample 0 Simple random sample SRS 1 Begin by assigning a number to each subject in the population 2 Then either choose 10 numbers randomly from a hat using a calculator or the random digits table T 4 Example I have a population of 30 people and I want a sample of 10 So I begin by numbering or assigning each person 1 though 30 Then randomly choose numbers This way every individual has an equal change to be the sample actually selected Note for those of you who are unsure how to use the random digits table here is a you tube video that explains it well the pace is a little slow though and watch on full screen httbswwwyoutubecomwatchvROpr440p6E 0 Probability sample 0 A sample chosen by chance 0 Strati ed random sample 0 Sampling important groups called strata within the population separately These strata are combined to form one strati ed random sample 1 First classify the population into groups of similar individuals strata 2 Then choose a separate SRS in each stratum and combine these SRS s to form the full sample Example You want to nd out if a calcium pill with cause bones to become stronger You think that drinking milk could cause a lurking variable in the results Therefore you take the population and split it up into two strata s people who drink milk and people who do not drink milk Then using SRS choose equal amounts of people from strata 1 and strata 2 Then combine the chosen people form the two groups into 1 group and test the hypothesis of the calcium pill Note here is a you tube video that describes SRS really well httpswwwyoutubecomwatchvsYRUYjYObGO Cautions about samplings Undercoverage this occurs when some groups in the population are left out of the process of choosing the sample Nonresponse this occurs when an individual chosen for the sample can t be contacted or refuses to participate Response bias occurs when there is a systematic pattern of incorrect responses in a sample survey Wording of the questions This is the most important in uence on the answers given to a sample survey Parameters and Statistics Parameter a number that describes some characteristic of the population The value of a parameter is UNKNOWN because we cannot examine the entire population Statistic a number that describes some characteristic of a sample This value is KNOWN because it can be computed directly from the sample data Bias and Variability We want to avoid bias and variability when estimating a parameter Bias Estimation of a parameter is unbiased if the mean of its sampling distribution is equal to the true value of the parameter being estimated Variability of a statistic described by the spread of its sampling distribution The spread is determined by the sampling design and the sampling size n Larger probability samples have smaller spreads 0 To reduce bias use random sampling 0 To reduce variability of a given statistic from an SRS use a larger sample

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