Psychology Statistics Final
Exam 2026 | Study Guide,
Questions & Answers
|Graded A+ | Guaranteed
success|
Updated 2026 Questions and Answers
100% Verified Exam Prep and Comprehensive
Rationales
Included
, Correlational Method -coefficient; positive; negative
-2 variables related
-CORRELATION does NOT equal CAUSATION
-significance**
-measure 2 or more variables
-looks for associations
Experimental Method -manipulation of IV
-measure the effect of DV
-use multiple groups
-random assignment
-allows for inferences about causality
-confounding variables
Non-Experimental Method -compares groups that have not been created by the experimenter
-males versus females
-smokers versus non-smokers
-cannot make inferences on cause and effect
Descriptive Statistics -statistical procedures used to summarize, organize, and simplify data.
Inferential Statistics -techniques that allow us to study samples and then make generalizations about
the populations from which they were selected.
Population: -the entire group of persons or things of interest in a particular study
-all males, all college males, all QU males
Sample: -subset taken from a larger population, that is usually intended to represent the
population as a whole.
Population = Parameter TRUE
Sample = Statistic TRUE
Scales of Measurement -Nominal
-Ordinal
-Ratio
-Interval
Nominal Scale: - assignment to categories with different names
-Qualitative distinctions
-ex) Male and Female
Ordinal Scale -ranked in ordered sequence
-know the direction but not magnitude
-ex) class rank (1 = highest GPA, 5 = lowest GPA)
Exam 2026 | Study Guide,
Questions & Answers
|Graded A+ | Guaranteed
success|
Updated 2026 Questions and Answers
100% Verified Exam Prep and Comprehensive
Rationales
Included
, Correlational Method -coefficient; positive; negative
-2 variables related
-CORRELATION does NOT equal CAUSATION
-significance**
-measure 2 or more variables
-looks for associations
Experimental Method -manipulation of IV
-measure the effect of DV
-use multiple groups
-random assignment
-allows for inferences about causality
-confounding variables
Non-Experimental Method -compares groups that have not been created by the experimenter
-males versus females
-smokers versus non-smokers
-cannot make inferences on cause and effect
Descriptive Statistics -statistical procedures used to summarize, organize, and simplify data.
Inferential Statistics -techniques that allow us to study samples and then make generalizations about
the populations from which they were selected.
Population: -the entire group of persons or things of interest in a particular study
-all males, all college males, all QU males
Sample: -subset taken from a larger population, that is usually intended to represent the
population as a whole.
Population = Parameter TRUE
Sample = Statistic TRUE
Scales of Measurement -Nominal
-Ordinal
-Ratio
-Interval
Nominal Scale: - assignment to categories with different names
-Qualitative distinctions
-ex) Male and Female
Ordinal Scale -ranked in ordered sequence
-know the direction but not magnitude
-ex) class rank (1 = highest GPA, 5 = lowest GPA)
