AP STATS UNIT 4

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24 Terms

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Population

Entire group of individuals we want information about

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Census

Collects data from every individual in the population

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Sample

Subset of individuals in a population from which we actually collect data from

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How to plan a sample survey?

Say exactly what population we want to describe

Say exactly what we want to measure

Decide how good a sample from the population is

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Sample Survey

Studies that use an organized plan to choose a sample that represents some specific population.

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Convenience Sample

Choosing individuals from a study that are easy to reach results

Unrepresentative Data is produced especially is we attempt to replicate 

Uses Bias

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Bias 

The design of a statistical study shows this when it constantly overestimates or underestimates the value you want to know

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What to do if your asked to describe how the design of a study leads to bias 

  1. Identify a problem with the design 

  2. Explain how this problem would overestimate or underestimate

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Voluntary Response Sample

Consist of people who choose themselves by responding to a general invitation 

Usually not representative of some larger Popualtion of interest 

Often attracts people that feel strongly Abt an issue=bias

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Random Sampling

Involves using a chance Proccess to determine which members of a population are incl in a sample 

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Hat Method ()

Write the name of each of the participants on identical slips of paper, put the slips in a hat. mix them well and pull out slips one at a time until you have n of them

Not good if pop is LARGE

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Simple Random Sample (SRS)

Of size n is chosen in such a way that every group of n individuals in the population has an equal chance to be selected for the sample 

Gives every possible sample/member of the desired size/population an equal chance to be included 

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Stratified Random Sample 

Start by classifying the population into groups of similar individuals, called strata, Then choose a seperate SRS in each stratum and combine SRSs to form the sample 

“Some from all”

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Cluster Sample

Classify the population into groups of individuals that are located near each other, called clusters. Then choose a SRS of clusters. All individuals in the choosen clusters are incl in the sample 

All from some

Works best when clusters look like the population but on a small scale

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Inference

Infer information about the population from what we know about the sample 

Inference from voluntary or convenience=misleading bc these methods of choosing a sample are biased and on’t fairly represent the popualation 

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Undercoverage

Occurs when some members of the population cannot be chosen in a sample 

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Nonresponse

Occurs when an individual chosen for a sample can’t be contacted or refuses to participate 

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