Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
6 Cards in this Set
- Front
- Back
t statistic
|
is used to test hypotheses about an unknown population mean when the value of the standard deviation is unknown. the formula for the t statistic has the same structure as the z score formula, except that the t statistic uses the estimated standard error in the denominator
|
|
degrees of freedom
|
describes the number of scores in a sample that are independent and free to vary. because the sample mean places a restriction on the value of one score in the sample, there are n-1 degrees of freedom for the sample
|
|
t distribution
|
this is the complete set of t values computed for every possible random sample for a specific sample size (n) or a specific degrees of freedom (df). the t distribution approximates the shape of a normal distribution
|
|
r squared (the percentage of variance accounted for)
|
a measure of effect size that determines what portion of the variability in the scores can be accounted for by the treatment effect
|
|
estimated standard error
|
an estimate of the standard error that uses the sample variance (or standard deviation) in place of the corresponding population value
|
|
T test conditions: what conditions contribute to a larger likelihood of rejecting a null hypothesis
|
a larger sample size and smaller sample variance contribute to a larger likelihood of rejecting a null hypothesis
|