Statistics of Variables Flashcards
Multi variable analysis
Comparing 2 or more variables to each other
Ex. Height vs. Arm span
Single variable analysis
Comparing of a certain variable to itself
Ex. Height
Independent (explanatory) variable
Affects or causes the change in the dependent variable
On the horizontal axis
Dependent (response) variable
Is affected by the independent variable
On the y-axis
Cause and effect
A change in X makes a change in Y evident in the physical processes
Ex. Height from where an object is dropped
Common cause factor
An external variable causes two variables to change in the same way
Ex. warm weather - more geese - more yogurt sales
Reverse cause and effect relationship
The dependent and independent variable are reversed in the process of establishing causality
Ex. Smoking & stress
Accidental relationship
W/O any casual relationship btwn variables
Presumed relationship
Does not seem to be accidental even though no cause and effect relationship or common cause factor is apparent
Ex. Job salary and level of satisfaction
Extraneous variables
Affect either the dependent or the independent variable. External variables
Ex. school, academics, tm, eca
Experimental groups
The group which the dependent variable is changed
Control group
The group for which the independent variable is read constant in a experimental or statistical study