273 Tutorial/Lecture 11 [Descriptive Stats]

categorical

nominal & ordinal are _____ types of data

continuous

interval & ratio are ______ types of data

categorical

example: how many in my sample are swimmers vs basketball players? this is a form of ______ data

categorical

example: what place did they finish in? this is a form of _____ data

continuous

example: on average, how much faster were they after training than before training? this is a form of _____ data

continuous

example: how much longer have they been competing compared to the other team? this is a form of _____ data

Mode

a measure of central tendency (1/3): the frequency that scores appear; useful for nominal data that is normally distributed; is unstable & terminal

Median

a measure of central tendency (1/3): the middle score when values are arranged in ascending/descending numerical order. Useful for finding most representative score for a skewed distribution

mean

a measure of central tendency (1/3): arithmetic average of a set of scores

normal

in a ______ distribution, mean = median = mode

left

in a _____ skewed distribution, mean < median < mode

right

in a ____ skewed distribution, mode > median > mean

T

T/F a Kurtotic Distribution, the mean = median = mode

leptokurtic

a _______ distribution has kurtosis >3, is peaked

mesokurtic

a ______ distribution has a kurtosis = 3, is normal

platykurtic

a _____ distribution has a kurtosis < 3

range

measure of variability; distance between the end points in a distribution

standard deviation

measure of variability; square root summed “distance” of each score from the mean / degrees of freedom

coefficient of variation

measure of variability'; standard deviation expressed as percentage of the sample mean, used to compare score distributions from sets with different means

measure of variability; summed “distance” of each score from the sample mean divided by the degrees of freedom