Correlate this!
DAILY DOUBLE!
When dealing with r2 and r, these are the effect sizes.
What does r2 measure? What does r measure?
What are:
r2: .01 (small), .09 (medium), .25 (large), .50 (very large).
r: .10 (weak), .30 (moderate), .50 (strong), .70 (very strong).
This is what ANOVA stands for.
What is Analysis of Variance?
What is r = SP/√SSx(SSy)
This is the number of null hypothesis you will have for a Two-Factor ANOVA.
This is how you describe them.
What are three?
Factor A has no effect. (There is no difference...)
Factor B has no effect. (There is no difference...)
There is no interaction between Factor A and Factor B. (The effects of __________ on ________ does not depend on _________.)
This is what it means to have a between-subjects research design.
What is use a separate group of participants for each treatment condition? (Two groups represent two different populations)
This is how rcrit is found.
Alpha level
One or two-tailed test
df = n-2
When writing the hypothesis test, the null hypothesis shows this.
What is all groups are equal (H0)?
μ 1 = μ 2 = μ 3
What does the H1 show?
At least one mean is different
This is how you find Estimated Standard Error (SM).
What is SM = √s2/n ?
(Define it)
What is a research study with two independent (or quasi-independent) variables.
This is how you determine if a t-Statistic test is one tailed or two tailed.
What is, does the question indicate a direction or expected outcome?
What else?
These are the four factors that will should be kept in mind when looking at the correlation and causation relationship.
What are:
IV DV Confusion
Restriction of Range
Outliers
Z-Variables (Partial Correlations)
This is the difference between the concepts of between group variance and within group variance.
What is between group variance is the natural, random differences and the group-based differences?
What is within groups variance is the natural, random differences alone?
This is the formula for pooled variance.
Follow up question: What kind of test is this used for?
What is s2p = SS1 + SS2 / df1 + df2
DAILY DOUBLE!
Come up to the board and graph an interaction.
Start with your chart with your Factor A, Factor B, and Levels.
The draw a graph showing an interaction.
What is looks good to me?
This is what estimated standard error does.
What is for a sample, measure the amount of error to expect between a sample mean and the population mean?
What is for two groups, measures amount of error to expect between sample mean differences and population mean differences?
DAILY DOUBLE!
These are the Hypothesis notations for a two-tailed test.
These are the Hypothesis notations for a One-tailed positive test.
These are the Hypothesis notations for a One-tailed negative test.
What are:
H0: p = 0 and H1: p ≠ 0 [Two-Tailed]
H0: p ≤ 0 and H1: p > 0 [Positive]
H0: p ≥ 0 and H1: p < 0 [Negative]
This is the definition of a test-wise alpha.
This is the definition of an experiment-wise alpha.
What is test-wise alpha is the risk of a Type I error for one test.
What is experiment-wise alpha is the probability of a Type I error from all individual tests?
This is the formula for F.
F = Between Groups Variance / Within Groups Variance
When graphing a Two-Factor ANOVA and the lines do not cross, it means this.
There is no interaction!
This is how you determine the degrees of freedom for a t-Statistics Test.
What is n1 + n2 - 2?
What is (n1 - 1) + (n2 - 1)?
When looking at a partial correlation, if a third variable brings down the relationship between two variables, it means this.
(Ice-cream sales and crime rates)
In an ANOVA, k represents this.
What is the number of levels (or groups)?
k-1
This is how you find t in an Independent Measures.
t = (M1 - M2) - (μ1 - μ2) / s(M1 - M2)
This is the definition of an interaction.
What is, when the effect of one factor depends on the different levels of a second factor, then there is an interaction between the factors?
μ1 - μ2 = this.
What is zero?