Chapter 3 Flashcards
abscissa
horizontal axis on a histogram, representing different values of x
ordinate
density, vertical axis on a histogram, related to the frequency of the occurrence of x
standard normal distribution
mean of 0 and standard deviation of 1
pivotal quantity
z, distribution will always be normal regardless of values of 2 parameters
deviation scores
measure deviations from the mean
z scores
represents the number of standard deviations that Xi is above or below the mean (positive scores lie above the mean, and negative scores lie below the mean)
prediction interval
when the population mean is known and we are trying to predict where a single observation (X) will fall
Q-Q plots
quantile-quantile plots, for determining if a set of data is normally distributed better than superimposing a normal curve on a histogram
Kolmogorov-Smirnov test
best-known statistical test for normalcy, weak test that should not be used
standard scores
distribution with mean of 0 and standard deviation and variance of 1, like IQ
percentile
the percentage of scores that fall below the individual’s score (for example, 91 percentile means that 91% of test scores fall below this person’s test scores)
T score
mean of 50 and standard deviation of 10, useful in psychological measurement b/c of standard frame of reference