Studied by 6 peopleT-INT FOR SLOPE
b ‡ t* SEb with df = n-2
T-TEST FOR SLOPE
T=B / SEb with df = n-2
STANDARD DEVIATION
the context typically varies by the SD# from the mean of #
Z-SCORE
specific value with context is # standard deviation above/below the mean - (value-μ)/σ
CORRELATION (R)
the linear association between x in context and y in context is weak/moderate/strong and positive/negative
RESIDUAL
the actual Y in content was # above/below the predicted value when x in context
Y-INT
the predicted Y in content when x = 0 context
SLOPE
predicted Y increases/decreases by # for each additional X
R SQUARED
about % of the variation in Y can be explained by the linear relationship with X
PROBABLITY
after many many contexts, the proportion of time that context will occur is about #
CONFIDENCE LEVEL
if we take many, many samples of the same size and calculate the confidence interval for each about % of them will capture the true parameter in context
P-VALUE
assuming the null is true context there is a p-value # of getting result or less/greater purely by chance
TYPE ONE ERROR
the NULL is true but we find convincing evidence for ALT
TYPE TWO ERROR
the ALT is true but we find convincing evidence for NULL
POWER
if the ALT is true at a specific value there is a probability the significance test will correctly reject the NULL
DESCRIBE A DISTRIBUTION
shape, center, variability, and outlier in CONTEXT
DESCRIBE A RELATIONSHIP
strength, direction, form, and unusual features in CONTEXT
Note
Flashcard