Social Science Stats Test 1

Front 1

concept

Back 1

idea that we think represents something in the real world

Front 2

Scientific Revolutions

Back 2

old interpretations of the world are replaced with new interpretations

Front 3

Anomalies

Back 3

scientific findings that cannot be explained by dominent model(s) of time

Front 4

Critical consumers

Back 4

ppl who understand that every stat is complex. will spot misleading

Front 5

Awestruck consumers

Back 5

believe what they hear

Front 6

Naive consumer

Back 6

*most common* accept bc they are generated by experts

Front 7

Cynical consumer

Back 7

rejects all statistics b/c they are made to sell or prove a point

Front 8

Positive direction of effect

Back 8

Ind variable and dep variable both go up -or- both go down

Front 9

Negative direction of effect

Back 9

ind variable and dep variable go in different directions

Front 10

Collectively exhaustive

Back 10

attributes of a variable include every possible response

Front 11

Mutually exhaustive

Back 11

each case can only be applied to one variable

Front 12

Nominal

Back 12

cannot be rank ordered

Front 13

Ordinal

Back 13

can be rank ordered but do not have distance between

Front 14

Interval/ratio

Back 14

based on real numerical values. zero means something

Front 15

Validity

Back 15

degree that variable measure what we think they are. Ex: What's your income? Lower Class, middle Class and upper class

Front 16

Reliability

Back 16

degree a measure yield consistent results. Everyone will interpret the same. Ex. Do you have a Car? Do you own a car?

Front 17

Individualistic fallasy

Back 17

one person's behavior generalized as group's behavior

Front 18

Ecological fallasy

Back 18

One person's behavior is all people's behavior. Ex: Every women out at night is a prostitute

Front 19

Pie charts represent ___ data

Back 19

nominal and ordinal

Front 20

Barcharts represent ____ data

Back 20

nominal or ordinal. Mostly ordinal

Front 21

Histograms represent ____ data

Back 21

inteval

Front 22

Histograms

Back 22

bars are touching bc numbers in between data sets

Front 23

Labels on a frequency table

Back 23

Frequency, percent, valid percent, and cumulative percent

Front 24

Skew

Back 24

the degree that outliers distort the normal distrubution

Front 25

What is not affected by outliers?

Back 25

median and mode

Front 26

Measures of dispersion

Back 26

stats that describe how tightly or loosely cases in a a distrubution are clusters

Front 27

range, interquartile range, mean deviation, variance, standard deviation

Back 27

measures of dispersion

Front 28

Mean deviation

Back 28

Dt=E(IX-XbarI)/N

Front 29

Variance

Back 29

S^2=E(x-Xbar)^2/N

Front 30

Standard Deviation

Back 30

S=SqrtE(X-Xbar)^2/N

Front 31

Quartile 1

Back 31

(N+1)(.25)

Front 32

Number of cases that fall within one deviation

Back 32

68%

Front 33

Number of cases that fall within two deviations

Back 33

95%

Front 34

Z (definition)

Back 34

standardized score - tell how many standard deviations a case falls from mean

Front 35

concept

Back 35

idea that we think represents something in the real world

Front 36

Scientific Revolutions

Back 36

old interpretations of the world are replaced with new interpretations

Front 37

Anomalies

Back 37

scientific findings that cannot be explained by dominent model(s) of time

Front 38

Critical consumers

Back 38

ppl who understand that every stat is complex. will spot misleading

Front 39

Awestruck consumers

Back 39

believe what they hear

Front 40

Naive consumer

Back 40

*most common* accept bc they are generated by experts

Front 41

Cynical consumer

Back 41

rejects all statistics b/c they are made to sell or prove a point

Front 42

Positive direction of effect

Back 42

Ind variable and dep variable both go up -or- both go down

Front 43

Negative direction of effect

Back 43

ind variable and dep variable go in different directions

Front 44

Collectively exhaustive

Back 44

attributes of a variable include every possible response

Front 45

Mutually exhaustive

Back 45

each case can only be applied to one variable

Front 46

Nominal

Back 46

cannot be rank ordered

Front 47

Ordinal

Back 47

can be rank ordered but do not have distance between

Front 48

Interval/ratio

Back 48

based on real numerical values. zero means something

Front 49

Validity

Back 49

degree that variable measure what we think they are. Ex: What's your income? Lower Class, middle Class and upper class

Front 50

Reliability

Back 50

degree a measure yield consistent results. Everyone will interpret the same. Ex. Do you have a Car? Do you own a car?

Front 51

Individualistic fallasy

Back 51

one person's behavior generalized as group's behavior

Front 52

Ecological fallasy

Back 52

One person's behavior is all people's behavior. Ex: Every women out at night is a prostitute

Front 53

Pie charts represent ___ data

Back 53

nominal and ordinal

Front 54

Barcharts represent ____ data

Back 54

nominal or ordinal. Mostly ordinal

Front 55

Histograms represent ____ data

Back 55

inteval

Front 56

Histograms

Back 56

bars are touching bc numbers in between data sets

Front 57

Labels on a frequency table

Back 57

Frequency, percent, valid percent, and cumulative percent

Front 58

Skew

Back 58

the degree that outliers distort the normal distrubution

Front 59

What is not affected by outliers?

Back 59

median and mode

Front 60

Measures of dispersion

Back 60

stats that describe how tightly or loosely cases in a a distrubution are clusters

Front 61

range, interquartile range, mean deviation, variance, standard deviation

Back 61

measures of dispersion

Front 62

Mean deviation

Back 62

Dt=E(IX-XbarI)/N

Front 63

Variance

Back 63

S^2=E(x-Xbar)^2/N

Front 64

Standard Deviation

Back 64

S=SqrtE(X-Xbar)^2/N

Front 65

Quartile 1

Back 65

(N+1)(.25)

Front 66

Number of cases that fall within one deviation

Back 66

68%

Front 67

Number of cases that fall within two deviations

Back 67

95%

Front 68

Z (definition)

Back 68

standardized score - tell how many standard deviations a case falls from mean