exam 1 prep Flashcards
(37 cards)
variables
a characteristic of a person with at least two values ex. gender/ religion
some numerical, some categorical
numeric variables
numbers ex. height, weight
categorical variables
groups ex. age group, sex
experimental
random sampling
explanatory variables
observe and record behavior
random assignment to values/levels of an explanatory variable
observational
random sampling
explanatory/independent variables
one that might explain behavior
response/dependent variable
the one we want to measure
limits of observational?
do not provide evidence of cause
differ in response variables
only show when there’s an explanatory variable
a third variable make it harder
third variable problem?
makes it harder to prove explanatory
why is randomness important?
avoids bias
creates groups similar to each other
why are groups in experimental studies important?
to establish causation
inferential statistical test
test whether a sample difference is a good evidence for the rest of the population
inferential statistical test
test whether a sample difference is a piece of good evidence for the rest of the population
two-sample t-test
two groups exposed to 1 explanatory level
one-way ANOVA
(analysis of variance)
three or more groups exposed to 1 explanatory level
chi-square
the response variable is categorized
factorial ANOVA
(analysis of variance)
two or more explanatory variables
bar graphs
for categorical variables
histograms
for numeric variables
bar graph descriptions…
values x axis
Frequency y axis
unimodal
one peak of the distribution
multimodal
Multiple peaks of the distribution
symmetrical
when you can cut the graph in half=
skewed
both halves look different