302

Front 1

Descriptive statistics

Back 1

Study a group as a whole and not individually also calculate values that describe the sample

Front 2

Central tendency

Back 2

Mean median and mode

Front 3

Variability

Back 3

Necessary in addition to central tendency, how spread out the scores are

Front 4

Types of variability

Back 4

Range and standard deviation

Front 5

Bar graphs and histograms

Back 5

Different categories as well as qualitatively different

Front 6

Line graph

Back 6

Quantitative differences in categories and connected increases etc

Front 7

Scatter plot

Back 7

Plotting individual data points. meaningful pairing of two different continuous measurements

Front 8

Inferential statistics

Back 8

Inferences made from data, guidelines include identifying the experimental design, between or within, and identifying the scale of measurement involved, noir

Front 9

Interval / ratio scales

Back 9

T tests, ANOVAs, correlations, regressions. What are you trying to show, differences: t test and a Nova's, relationships

Front 10

Ordinal scale

Back 10

Nonparametric tests, differences including between studies and within studies , relationships

Front 11

Mann Whitney U test

Back 11

Ordinal scale between subjects test between two groups

Front 12

KRuskal Wallis H test

Back 12

Ordinal scales between subjects tests between more than two groups

Front 13

Wilcoxon signed ranks test

Back 13

Two conditions, within subjects, ordinal scale

Front 14

Friedman t-test

Back 14

Ordinal scale, within subjects, two or more conditions

Front 15

Ordinal scale relationship test

Back 15

Spearman rank - order correlation

Front 16

Nominal scale

Back 16

Can only count things up, due to variables interact? Looks at observed frequencies , expected frequencies. Chi square compares observed frequencies to expected frequencies

Front 17

Chi square

Back 17

Compares observed frequencies to expected frequencies on a nominal scale

Front 18

What statistical test should you use when predicting weight from height

Back 18

Regression

Front 19

Statistical test used to determine if GPS change when people change majors

Back 19

Paired samples t test

Front 20

Statistical tests to determine political affiliation and voter registration

Back 20

Chi square

Front 21

Test comparing salaries of people in education business or government

Back 21

One-way ANOVA

Front 22

Testing differences between old people and young people on life satisfaction scale

Back 22

Mann Whitney U test and or independent samples t test

Front 23

Lab based data collection

Back 23

Physical presence of participants, flexibility and stimulus presentation and type of measurement

Front 24

Field based data collection

Back 24

Real world representation, external validity, also includes extraneous factors and confounds

Front 25

Lab based research options

Back 25

Internet, Amazon Mechanical Turk

Front 26

Non-experimental

Back 26

A type of experiments is that cannot determine cause and effect , racks true IV manipulation does not attempt to control variables

Front 27

Quasi experiment

Back 27

Attempt to control variables does not manipulate The IV