Chapter 1-2 Flashcards
(46 cards)
Mean
where the ave of the score are
Mean Squares
the average distance of all the points added up - then square it
Z-score
how many SD you are away from the mean
measurement of how far away you are from the mean
Median
middle number
Mode
the one that happens the most
Standard Deviation
spread of data around the mean
small -close to mean
big - further away
0 - same as mean
Variance
to calculate variance: { (xi - mean)^2 / (N-1)
a variance is: the average amount each score is away from the mean
Sum of Squares (SS)
total deviance of the mean all added together and squared it
total number of distance from mean
Deviance
how far away from the mean
Validity
Test measure what it is set out to measure
Reliability
||: exp - get sim. results
P-value
probability that the cause was random
Dependent variable
Outcome variable
thing that changed based on other things
independent variable
predictor variable
the thing you mess with
Confounding variable
the other things that could be influencing results
Counterbalancing
order of steps in exp, do all orders to get real results
Frequency distribution
how often scores appear and where in the graph
interquartile range
cut data into 4 pieces, distance inside middle area
Kurtosis
measures how much score cluster happens in an area
Leptokurtic
Positive kurtosis too peaked
Measurement error
your results vs. real results
Negative skew
Tail is on the left
Nominal variable
s on jerseys (don’t mean order)
Ordinal variable
order: medals