Week 5-One-way anova Flashcards
ONE-way anova is between subjects.. TRUE OR FALSE
TRUE
Nonparametric data use the.. tests.. A)Kruskal-Wallis B)Jonckheere C)Chi-square test D)Friedman test E) A,B
E)A,B
Nominal data use the .... test. A)Kruskal-Wallis B)Jonckheere C)Chi-square test D)Friedman test E) A,B
C) chi-squared test of association
Type 1 error is..
A) incorrect rejection of a true null hypothesis.
B) incorrect rejection of alternative hypo
C) acception of a true null hypo
A) incorrect rejection of a true null hypothesis.
Type 2 error is.
A) incorrect rejection of a true null hypothesis.
B) incorrect rejection of alternative hypo
C) acception of a true null hypo
D) failure to reject false null hypo
D) failure to reject false null hypo
If we power our study to 0.8, this means our beta is 0.2, we have a ....% chance of type 2.. A) 30% B)80% C) 20% D) 2%
C)20%
family wise error equation.
=1- (1- à)squared by N a=alpha N=number of tests e.g. 5 tests= 1- (1-0.05)5 =0.23 (23% error rate)
Assumptions of one-way ANOVA..
- samples are independant
- interval/ratio
- Data normally distributed
- homogeneity of variance
ordinal data a non-parametric .. test should be used. A) t-test B) Kruskal-Wallis C)Chi-square test D)Friedman test
B) Kruskal-Wallis
Error variance is..
Mean Square error (MSE)
anova compares…
variance you want (effect) VS the variance you don’t (error variance)
F-ratio is the ratio between….
Effect: error
When the treatment/manipulation creates little variability in scores, the ANOVA is expected to produce an F statistic close too. A)0 B)1 C)10 D) 100
B)1
Larger F stat may indicate a.. A) sig difference B) non-sig difference C)no relationship D)Doesn't matter what size
A) sig difference
F can never be negative. TRUE OR FALSE
TRUE
F is almost never less than 1. TRUE OR FALSE
TRUE
indépendant anova is the ratio of variance between: within groups (MSbetween/MSwithin)
TRUE
Significant effects occur when you have at
least four times as much variance between your groups as you do within your groups
TRUE OR FALSE
TRUE
F ratio is..
Variability BETWEEN treatment conditions / variability WITHIN treatments conditions
(EFFECT + ERROR) / ERROR
Control = 20 Deadlifts = 90 Effect of IV=? A)70 B) 110 C)0.22 D) 4.5
A) 70
Control = 20 Deadlifts = 90 Effect of IV=? Error=0 A)70 B) 110 C)0.22 D) 4.5
A) 70
Error=4.66
Effect= 0
F=?
4.66/4.66 =1 (F=1)
If my F value is greater than critical we..
A) accept null
B) reject null
B) reject null
What test is used to determine which pairs of means are different from one another.. A) Chi squared B) post hoc C)t-test D)non parametric
B)Post Hoc
