Hypothesis Testing Pg. 491 - 522 Flashcards
_____________________ are statistical tests that follow certain assumptions about the sample and
population they are testing
Parametric tests
____________ and __________ are a numerical way of describing the degree of
spread within a distribution
Standard deviation & Variance
_________________ is the degree to which a
distribution varies around the mean
- The smaller the value, the smaller the _______________-
Variance
____________________ is the typical amount
that each score varies from the mean
- The square root of variance
Standard deviation
_______________________ is an approximately normal distribution constructed
of means calculated from all possible samples of a given size from a given
population
Distribution of means
_______________________ is smaller than the standard deviation of a distribution of
scores
Standard Error
_____________________ is the idea that the world is chaotic and many phenomenon occur at random or by chance
Premise
____________________ is the specific value within a distribution that denotes how extreme the
data, and the sample test statistic, must be
to reject the null hypothesis
Critical Values
_____________________ are the areas of a distribution
beyond the critical value on either one or both
tails
Critical Regions
A ________________ error is rejecting the null hypothesis when it is
true or declaring a difference despite there
being none
Type 1
A __________________ error is failing to reject the null hypothesis
when it is false or declaring no difference when there is
one
Type 2
__________________ is the portion of a given distribution at either
end of the extremes
Alpha (⍺)
As _______ increases, the probability of a ___________ error
increases
⍺, Type 1
__________________ is the probability of correctly rejecting a false null hypothesis when a
particular alternative hypothesis is true
Power (1-β)
_________________ is the probability of committing a Type II error
β (Beta)