Final Exam Flashcards
Factorial ANOVA
Two or more experimental factors
Two Way (two factor)ANOVA
Two experimental factors
MANOVA
More than one dependent variable
Chi -Square Analysis
Testing differences between two or more groups of NOMINAL data
Contingency Table
Right. Left. Total
Male. 43. 9. 52
Female. 44. 4. 48
Total 87. 13. 100
Chi Squared test statistic
Null hypothesis is that there is no relationship between rows and columns
Confidence Intervals
An interval that encloses a population parameter (such as means or difference of two means)
If it doesn’t include zero then you’re good there is a relationship
Level of Confidence
100(1-alpha)
Set at 90 or 95
Interval would enclose population parameter 95% of the time
Regression Analysis
- Mean of population of DV increases or decreases linearly
- DE normally distributed
- SD is same for IV and DV
Simple Linear Regression
Y relies on x
DV relies on IV
Line of the Means
Another name for regression line
Regression Line
y = bx + a
B is slope
A is y intercept
Least squares regression
The process of finding the regression line
Standard error of the estimate
Need to estimate the variablility of the population about the lines of the means
Standard error of the slope
B and a are estimates. So we have to find the error to make sure they are not bad
Simple linear correlation
Linear relationship between two variables but they are not dependent on each other
The R coefficient
Person bullshit
Number between -1 and 1
Coefficient of determination
R^2
Describes how clearly a straight line describes the relationship between two variables
0 - 1
Correlation v Causality
Correlation does not mean causality
Normal Probability Plot
Checks to see if data is normally distributed ( plotted against a theoretical normal distribution)
Chi Squared Goodness of Fitt
Another way to asses normal distribution
Mann Whitney Rank Sum test
Analog to T test
Ordinal
Wilcoxon Signed Rank test
Analog to paired t test
Ordinal
Kruskal Walis statistic
Analog to one way ANOVA
Ordinal
Friedman Statistic
Analog to repeated measures ANOVA
Ordinal
Nominal data
Dead or alive. Used chi Squared
