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Why Sample?
 Improve data quality, obtain indepth information about each subject. Want to minimize the number of things we examine or maximize the quality of our examination of those things we do examine.
 Generalize the population to make better changes to society

When is sampling unecessary?
 When the number of things we want to sample is small
 Data is easily accessible
 Data is unaffected by what we look at

What is an example of Sampling Frame?
An example of a sampling frame is a list of High School students

What is an example of elements/sample units in a sample?
The High School students name

What is an example of unit of analysis?
Once I have chosen a High School students name and am going to survey that student it becomes the unit of analysis.

What does Probability mean?
 Every element of a population has a chance of being included.
 Also random sampling
 Less likely to be biased

What does Nonprobability mean?
 Not every member of the population has a chance of being studied
 Purposeful
 Selected group

What are 3 types of Sampling Errors?
 Coverage
 Nonresponse
 Sampling

What does coverage error mean?
 The people that are left out
 When results are different between the sampling frame and the target population
 Example: not everyone has a phone, those without will be excluded from the sample but not on purpose.

What is a Nonresponce error?
 When people do not answer the survey
 No data can be collected from the individual

What is Sample Error?
 Difference between the characteristics of a sample and the charactertics of the population from which the sample is drawn
 Sampling Variability: Variability in sample stat occurs when different samples are drawn from the same population

What are the types of Probability Sampling?
 Simple Random
 Systematic
 Stratified
 Cluster
 Multistage/Multicluster

What is Simple Random Sampling?
 Write names on a paper and draw from hat
 Use the number chart to pick people by the number

What is Sampling Distribution?
 The distribution of a sample statistic
 Distribution of any statistic tends to be around the population parameter, especially as the sample gets bigger (the more accurate)

