introduction Flashcards
statistics
a set of methods and rules for organizing and interpreting information
population
a collection of all individuals of interest in a particular study
sample
a subset of a population, usually selected as representative of that population
parameter
a value that describes a population
statistic
a value that describes a sample
descriptive statistics
statistics that simplify and summarize information
data
measurements or observations
raw score
an original measurement or observed value
inferential statistics
statistics that allow generalizations about a population
sampling error
the discrepancy between a sample statistic and a population parameter
random sampling
a selection process such that every individual in the population has the same chance of being selected for the sample
variable
a characteristic or condition that changes or has different values for different individuals
constant
a characteristic or condition that does not change or have different values for different individuals
correlational method
changes are observed in two variables to see if there is a relationship
experimental method
one variable is manipulated while changes are observed in another variable
independent variable
the manipulated variable
dependent variable
the variable observed for changes
control group
the group that does not receive the experimental treatment
experimental group
the group that does receive the experimental treatment
confounding variable
an uncontrolled variable that is unintentionally allowed to vary systematically with the independent variable
quasi-experimental method
comparing preexisting groups of subjects or preexisting conditions
quasi-independent variable
the variable used in the quasi-experimental method to differentiate groups
hypothesis
a prediction about the outcome of the experiment
construct
hypothetical concepts used in theories to organize observations
operational definition
a construct’s definition in terms of specific operations or procedures
nominal scale
observations are labeled and categorized
ordinal scale
observations are ranked in order of size or magnitude
interval scale
observations are ranked in order of size and magnitude, and equal intervals between numbers on the scale reflect equal differences in size or magnitude
ratio scale
an interval scale with an absolute zero point
discrete variable
variables with separate, indivisible value categories
continuous variable
variable with infinite possible values
real limit
the assigned category separations between continuous values
X
the first variable
Y
the second variable
N
number of scores in a population
n
number of scores in a sample
Σ
sum