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

11 Cards in this Set

  • Front
  • Back
Effect size
a standardized difference between the means of two distributions
effect size is represented by what symbol?
How likely are we to do what we want to do? (ie, correctly reject a false null)
How much overlap is there between distributions for the null and alternative hypotheses?
A use of power
Given that we have a fixed alpha, what technique can we use to determine the required sample size to reject a specific alternative hypothesis? (ie, How big would N have to be so that if the alternative hypothesis were true, the null would be rejected 95% of the time?)
the probability of rejecting a true null
1- Beta,
the probability of rejecting a false H0
What are the three factors that affect power?
effect size, sample size, significance level (one vs. two tailed)
specify effect size, know H1
We can only compute 1-B if we specify/know...
1. reduce the population variance (by using a matched samples or dependent samples design)
2. Increase alpha (your definition of unlikely).
3. increase the effect size
4. use a larger sample size
What are ways to increase power?
A value for the alternative hypothesis must be specified. (in indep samples t test the difference betw means is just > or <).
What is the unique thing about power computations and the alternative hypothesis?