Exam 4 for PBSI 301 (stats) questions
with verified answers graded A+
Factorial ANOVA - correct answer ✔✔an analysis of variance involving two or more
independent variables or predictors.
factorial notation - correct answer ✔✔A way to summarize the design of a study numerically
i.e., 2x3 factorial notation =
The first variable has 2 levels (i.e., male or female) and the second IV has 3 levels (age, height,
weight)
factor - correct answer ✔✔an independent variable
Level - correct answer ✔✔the specific values that the experimenter chooses for a factor
- dependent variable
condition - correct answer ✔✔An option across all of the independent variables
Main Effect - correct answer ✔✔considering one IV at a time to see if there's a difference in DV
across all levels of IV
interaction - correct answer ✔✔considering one IV is not enough--we consider multiple IV to
see a change in DV. used to predict Dv/outcome. if there's an interaction between IVs it gets
complex and we have to say "it depends" when explaining hat happened in the DV/outcome.
, how do identify main effects and interactions significance - correct answer ✔✔split them into
sources of between or within and the p-value tells us whether or not the effect is significant or
not
Correlation - correct answer ✔✔how do changes in the value of one variable relate to the
values of another variable
correlation coefficient - correct answer ✔✔a statistical index of the relationship between two
things (from -1 to +1)
are a way of assigning a single number to describe these relationships- r.
what does r tell us ? - correct answer ✔✔1. Direction
2. Strength
Testing Correlations - correct answer ✔✔we use p-values to tell if significant, compared to the
cristical rs (.05). Degree of freedom is N-2
r and effect size - correct answer ✔✔r is BOTH an obtained value AND a measure of effect size
note that the obtained value of r is not influenced by sample size (the ns cancels out)
The statistical significance of r relies on the sample size, though, because the critical value gets
smaller as the sample size gets bigger
difference between ES and NHST - correct answer ✔✔
with verified answers graded A+
Factorial ANOVA - correct answer ✔✔an analysis of variance involving two or more
independent variables or predictors.
factorial notation - correct answer ✔✔A way to summarize the design of a study numerically
i.e., 2x3 factorial notation =
The first variable has 2 levels (i.e., male or female) and the second IV has 3 levels (age, height,
weight)
factor - correct answer ✔✔an independent variable
Level - correct answer ✔✔the specific values that the experimenter chooses for a factor
- dependent variable
condition - correct answer ✔✔An option across all of the independent variables
Main Effect - correct answer ✔✔considering one IV at a time to see if there's a difference in DV
across all levels of IV
interaction - correct answer ✔✔considering one IV is not enough--we consider multiple IV to
see a change in DV. used to predict Dv/outcome. if there's an interaction between IVs it gets
complex and we have to say "it depends" when explaining hat happened in the DV/outcome.
, how do identify main effects and interactions significance - correct answer ✔✔split them into
sources of between or within and the p-value tells us whether or not the effect is significant or
not
Correlation - correct answer ✔✔how do changes in the value of one variable relate to the
values of another variable
correlation coefficient - correct answer ✔✔a statistical index of the relationship between two
things (from -1 to +1)
are a way of assigning a single number to describe these relationships- r.
what does r tell us ? - correct answer ✔✔1. Direction
2. Strength
Testing Correlations - correct answer ✔✔we use p-values to tell if significant, compared to the
cristical rs (.05). Degree of freedom is N-2
r and effect size - correct answer ✔✔r is BOTH an obtained value AND a measure of effect size
note that the obtained value of r is not influenced by sample size (the ns cancels out)
The statistical significance of r relies on the sample size, though, because the critical value gets
smaller as the sample size gets bigger
difference between ES and NHST - correct answer ✔✔
