Statistics For Psychology

Front 1

summarizing a group of scores or otherwise making them more understandable

Back 1

descriptive stats

Front 2

drawing conclusions based on the scores collected in a research study but not going beyond them

Back 2

inferential stats

Front 3

with different values

Back 3

variable

Front 4

number or category that a score can have

Back 4

value

Front 5

particular person's value

Back 5

score

Front 6

values are number

Back 6

numeric variable

Front 7

numbers stand for approximately equal amounts of what is being measured

Back 7

equal-interview var

Front 8

values are ranks

Back 8

rank-order var

Front 9

values are categories

Back 9

nominal var

Front 10

ordered listening of the number of indiviuals having each of the dif. values

Back 10

frequency table

Front 11

barlike graph of frequency distribution

Back 11

histogram

Front 12

pattern of frequencies over the various values

Back 12

frequency distribution

Front 13

freq distrib in which the left and right side are mirror images

Back 13

symmetrical

Front 14

scores pile up on one side

Back 14

skewed

Front 15

types of curves (3)

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normal, heavy tailed, light tailed

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average

Back 16

mean (sigma x /n)

Front 17

greatest frequency

Back 17

mode

Front 18

middle score

Back 18

median (scores +1 /2)

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extreme value

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outlier

Front 20

measure of how spread out a set of scores are

Back 20

variance

Front 21

variance

Back 21

average of each score's squared deviation score, sigma(x-m)^2) /n

Front 22

avg amount that scores in a distribution vary from the mean

Back 22

sd, root variance

Front 23

number of standard deviations a score is from mean

Back 23

z score

Front 24

ordinary socre

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raw score

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z score

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x-m /sd

Front 26

association b/w two variables

Back 26

corrleation

Front 27

graph showing relationship between two varaiables

Back 27

scatter diagram

Front 28

the result of mulitplying a person's z score on one variable by the person's z score on another var

Back 28

cross product of z scores

Front 29

measure of the degree of linear correlation b/w two variable

Back 29

correlation coefficient (r)

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r

Back 30

sigmaZxZy /n

Front 31

directions of causality

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3: x to y, y to x, z to x and y

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results unlikely if no association

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statsitically significnat.

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predictor

Back 33

x

Front 34

criterion

Back 34

y

Front 35

prediction

Back 35

preZy=betaZx, preY=SDy(preZy)+My

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measure of association b/w variable used whencomparing associations found in different studies or with different variables, the proportion of the total variance in one variable that can be explained by the other variable

Back 36

proportion of variance accounted for

Front 37

way of reporting corr coefs in a table

Back 37

cor matrix

Front 38

multiple regression

Back 38

preZy= Beta1Zx1+Beta2Zx2...

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degree of multiple correlation

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R (smaller than summer of r's)

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entire group of people to which a researcher intends to study

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population

Front 41

scores of the particular group of ppl studied

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sample

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everybody has an equal chance of being selected

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random selection

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whoever's available

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haphazard selection

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expected relative frequency

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probability

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probability

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possible successful outcomes/all possible outcomes

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possible successful outcomes/all possible outcomes if experiment ran many times

Back 46

expected relative frequency

Front 47

normal curve percentages

Back 47

34,14,2