Study your flashcards anywhere!

Download the official Cram app for free >

  • Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off

How to study your flashcards.

Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key

Up/Down arrow keys: Flip the card between the front and back.down keyup key

H key: Show hint (3rd side).h key

A key: Read text to speech.a key


Play button


Play button




Click to flip

10 Cards in this Set

  • Front
  • Back
Statistical Inference
Allows one to estimate population characteristics from sample data
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