# BMGT 230 Study Guide - Comprehensive Midterm Guide: Simple Random Sample, Cluster Sampling, Sampling Frame

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7 Feb 2017
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BMGT 230
MIDTERM EXAM
STUDY GUIDE
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BMGT230 Lecture 3 Notes Feb 1st
Bias
Sampling Error
Sampling techniques
Randomization
Population - a group of individuals of interest
o Ofte, you do’t have aess to the etie populatio
Sample a part of the population
Parameter a characteristic that we want to learn about it is generally unknown
Statistic a known estimate of a parameter from a sample
Bias when the sample is not representative of the population; it is always bad
o Systematic/ Selection bias when certain individuals in the population are
omitted from the sample
Sampling frame the part of the population that can be reached
o Non-Response almost always a problem, when people fail to respond
o Response people lie ad you a’t do aythig aout it
Randomization to get rid of bias we must dp it
Sampling error sample to sample variation
Example 1
o False
o True
o True
o False
Example 2
o Population all frequent flyers
o Sampling frame same size
Sampling techniques
Non Statistical
o Convenience takig the easiest saple
May not be representative
o Voluntary allowing population to choose to respond
Only people who feel strongly respond
Statistical
o Simple Random Sampling each individual has the same chance of being
selected
If the population size is less than 10%
Groups from the population
o Stratified groups are different from one another
Groups are called strata
Take SRS within each stratum
Sample size should be proportional to the stratum size
o Cluster The groups are like one another
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Groups are called clusters
Individuals in each cluster are heterogeneous
Take a SRS of cluster
Take a census of chosen clusters
o Systematic
select the nth person in the sample and every 10th after that
Example 3
o Stratified
Example 4
o Population frequent flyer customers
o Sampling frame flyers that registered
o What are some problems w/ this sample? It’s a leadig uestio, o
response bias, selection bias
Example 5
o A) False; Voluntary sampling
o B) False; Non Response bias
o C) False
o D) True
Example 6
o A) voluntary
o B) Voluntary
o C) Cluster
o D) Systematic
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