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10 Cards in this Set

  • Front
  • Back
Statistical Inference
Allows one to estimate population characteristics from sample data
Probability
Prediction - the likelihood that any one event will occur, given all the possible outcomes
Sampling Error
The tendency for sample values to differ from population values, which occurs by chance
What does a p value of 1.00 mean?
100% chance an event will occur
What does a p value of 0.00 mean?
0% chance an event will occur
How do we prevent sampling error?
Have a really big, representative, random sample
Inclusion Criteria
- Primary traits/factors of the target population which will qualify someone as a subject

- Limits the number that can be included in a sample

- Gets rid of confounding influences
Exclusion Criteria
- Traits/factors which would exclude someone from being a subject
What are the keys to picking a good sample of the population?
Balance the homogeneity of the sample with potential generalizability of the findings
What is standard error?
Standard error of the mean is the standard deviation of a theoretical sampling distribution of means

The bigger the 'n', the more error is reduced

SE = sd/square root of n