Copyright © KAYLIN 2024/2025 ACADEMIC YEAR. ALL RIGHTS RESERVED FIRST PUBLISH NOVEMBER, 2024
stats 203 final exam practice questions
and answers 100% pass
What is factorial ANOVA and when do you use it? - ANSWER✔✔-used with factorial designs- two or
more independent variables
Factorial notation system (e.g. 2x2, 2x3) - ANSWER✔✔-a way to summarize the design of the study
numerically
-number of numbers is = to number of factors (variables)
-actual numbers= the number of levels for each of the factors
What is main effect? - ANSWER✔✔-overall effect of a single variable
What are interactions? - ANSWER✔✔-when the effect of one factor depends on the level of another
factor
How can you spot main effect vs. interactions with the means? - ANSWER✔✔-compute row and column
means that combine the data for all cells that are at one level of a variable
will give a quick idea of whether there is a main effect or not
calculate the differences across the rows/columns
always do the same group first
see whether the differences differ
Copyright ©Stuvia International BV 2010-2024 Page 1/6
, Copyright © KAYLIN 2024/2025 ACADEMIC YEAR. ALL RIGHTS RESERVED FIRST PUBLISH NOVEMBER, 2024
How can you spot main effects vs. interactions in graphs? - ANSWER✔✔-main effect- lines almost parallel
interaction-lines intersect
How can you spot main effect vs. interactions in SPSS output? - ANSWER✔✔-
What are correlations and when do you use them? - ANSWER✔✔-use when we want to look at the
effect of one variable on another and not split people into groups
look at relationship between two continuous variables
ask how do changes in the value of one variable influence the values of another variable
a way of assigning a single number to describe these relationships
Scatterplots - ANSWER✔✔-positive relationship: as one variable goes up, so does the other
negative relationship: as one variable goes up, the other goes down
Strength - ANSWER✔✔-the magnitude of the coefficient tells how strong the relationship is
r=0, no relationship
r=-1 or 1, then perfect relationship
closer value is to 1 in absolute value-closer it is to perfect relationship
Testing correlations - ANSWER✔✔-use p-value to tell us if a correlation is statistically significant
compare r to a table of critical r's
Reporting correlations - ANSWER✔✔-A correlation coefficient between height and weight revealed a
significant positive relationship (r (20) = .81, p < .05). This suggests that the taller people are, the more
they tend to weigh.
Copyright ©Stuvia International BV 2010-2024 Page 2/6
stats 203 final exam practice questions
and answers 100% pass
What is factorial ANOVA and when do you use it? - ANSWER✔✔-used with factorial designs- two or
more independent variables
Factorial notation system (e.g. 2x2, 2x3) - ANSWER✔✔-a way to summarize the design of the study
numerically
-number of numbers is = to number of factors (variables)
-actual numbers= the number of levels for each of the factors
What is main effect? - ANSWER✔✔-overall effect of a single variable
What are interactions? - ANSWER✔✔-when the effect of one factor depends on the level of another
factor
How can you spot main effect vs. interactions with the means? - ANSWER✔✔-compute row and column
means that combine the data for all cells that are at one level of a variable
will give a quick idea of whether there is a main effect or not
calculate the differences across the rows/columns
always do the same group first
see whether the differences differ
Copyright ©Stuvia International BV 2010-2024 Page 1/6
, Copyright © KAYLIN 2024/2025 ACADEMIC YEAR. ALL RIGHTS RESERVED FIRST PUBLISH NOVEMBER, 2024
How can you spot main effects vs. interactions in graphs? - ANSWER✔✔-main effect- lines almost parallel
interaction-lines intersect
How can you spot main effect vs. interactions in SPSS output? - ANSWER✔✔-
What are correlations and when do you use them? - ANSWER✔✔-use when we want to look at the
effect of one variable on another and not split people into groups
look at relationship between two continuous variables
ask how do changes in the value of one variable influence the values of another variable
a way of assigning a single number to describe these relationships
Scatterplots - ANSWER✔✔-positive relationship: as one variable goes up, so does the other
negative relationship: as one variable goes up, the other goes down
Strength - ANSWER✔✔-the magnitude of the coefficient tells how strong the relationship is
r=0, no relationship
r=-1 or 1, then perfect relationship
closer value is to 1 in absolute value-closer it is to perfect relationship
Testing correlations - ANSWER✔✔-use p-value to tell us if a correlation is statistically significant
compare r to a table of critical r's
Reporting correlations - ANSWER✔✔-A correlation coefficient between height and weight revealed a
significant positive relationship (r (20) = .81, p < .05). This suggests that the taller people are, the more
they tend to weigh.
Copyright ©Stuvia International BV 2010-2024 Page 2/6
