Stats at University Of British Columbia | Flashcards & Summaries

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Lernmaterialien für stats an der University of British Columbia

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What are the 2 keys to obtaining a representative sample? 
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1. Randomization 
2. Sample size
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What is a completely randomized experiment?
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- experimental units are randomly assigned to treatment groups
-no blocking is involved 
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What is a randomized block design?
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- experimental units are separated into blocks 
- treatment assignment and comparison of the response are done with the blocks separately 
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What is a parameter? 
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A numerical summary of a population 
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What is a sampling variable?
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The difference in characteristics from sample to sample 
- bound to happen with entire populations 
- the larger the sample size, the smaller the variability between samples = more reliable 
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What is sample framing?
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The list of individuals from which a sample is drawn
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What is stratified sampling?
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1. A population is first divided into strata
2. A sample is drawn from each strata making stratified samples = smaller variability = more reliable 
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What is simple random sampling? 
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Each individual has an equal chance of being selected and each sample of size n is equally likely 
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What is cluster sampling?
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The a population is naturally divided into clusters, a simple random sample of clusters is obtained 
- if all individuals from cluster are chosen = 1 stage 
- if an additional simple random sample is drawn within each cluster = 2 stage 
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What is multistage sampling? 
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Involves more then 1 stage or sampling procedure 
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What is systemic sampling? 
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Is obtained by selecting every K th (can be any value) individuals from a sample 
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What is a statistic?
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A numerical summary of a sample 
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Q:
What are the 2 keys to obtaining a representative sample? 
A:
1. Randomization 
2. Sample size
Q:
What is a completely randomized experiment?
A:
- experimental units are randomly assigned to treatment groups
-no blocking is involved 
Q:
What is a randomized block design?
A:
- experimental units are separated into blocks 
- treatment assignment and comparison of the response are done with the blocks separately 
Q:
What is a parameter? 
A:
A numerical summary of a population 
Q:
What is a sampling variable?
A:
The difference in characteristics from sample to sample 
- bound to happen with entire populations 
- the larger the sample size, the smaller the variability between samples = more reliable 
Mehr Karteikarten anzeigen
Q:
What is sample framing?
A:
The list of individuals from which a sample is drawn
Q:
What is stratified sampling?
A:
1. A population is first divided into strata
2. A sample is drawn from each strata making stratified samples = smaller variability = more reliable 
Q:
What is simple random sampling? 
A:
Each individual has an equal chance of being selected and each sample of size n is equally likely 
Q:
What is cluster sampling?
A:
The a population is naturally divided into clusters, a simple random sample of clusters is obtained 
- if all individuals from cluster are chosen = 1 stage 
- if an additional simple random sample is drawn within each cluster = 2 stage 
Q:
What is multistage sampling? 
A:
Involves more then 1 stage or sampling procedure 
Q:
What is systemic sampling? 
A:
Is obtained by selecting every K th (can be any value) individuals from a sample 
Q:
What is a statistic?
A:
A numerical summary of a sample 
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