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68481

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long question

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State whether the homogeneity of variances were met
null hypothesis accept or reject
state interaction effects
State test conducted
State what the test was doing
state main effect
conclude

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Match the tests

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One way between Anova
One way within Anova
Wilcoxon
Mann - Whitney u test
Two way Within Anova
Two way between Anova
Mixed Two way Anova

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Run a test to determine if there is a significant difference in study hours between males and female students.
test to determine if there is a significant difference in leg muscle soreness 24 hours after exercise between men, boys and adolescent males.
Non parametric test to determine if there was a significant difference in study hours during the first half of the semester and the second half of the semester in sports science students.
Between group two main effects 1 interaction effect (2 IV)
there is to determine if there is a significant difference in leg muscle soreness 24, 48 and 72 hours after exercise in a group of men.
Within group Two main effects 1 interaction effect (More than two IV)
Within IV and Between IV 2 main effects 1 Interaction Effect (2IV)

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reporting anovas

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Levenes Test (assumptions of homogeniety of variance were met)
Main effects (Sig or Not Sig) and what they mean + (mean and SE)
Conclusion
Test of Normality (Say name and report P value)
Type of test carried out
Interaction effect (Mean + SE)
Reword test carried out

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Reporting Bivariate

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what the coefficant of determination (R2) indicated
What the pearson product moment correlation coefficient revealed ie relationship ie positive moderate (Report R and P)
What the study did
conclude
Give example
State regression equation
Aim of study
A bivariate equation was formed, state which variables went on which axis and why
accept / reject null hypothesis
State what the anova revealed

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Corrolation coefficiant and coefficent of determination

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Corrolation coefficiant
Coefficiant of determination

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R
R2

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R and r2

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R
R2

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Strength and direction of relationship
how much of y can be predicted by x

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Question one

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Inferential stats
Descriptive stats

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Infer
Describe

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LOLOLOLOLOLOL

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Independant t test
dependant t test
corrolation

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strength and diresction of a relationship
same groups
independant groups

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parametric

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match em up

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Normal distribution
kolmogorov
shapirio wilk

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mean median and mode all on centre line
above 50 samples
below 50 samples

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shapiro wilk

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MATCH SOME MORE ONE WAY BETWEEN ANOVA

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ONE WAY BETWEEN ANOVA
One Way Within Anova
MIXED ANOVA
TWO WAY BETWEEN ANOVA
TWO WAY WITHIN ANOVA

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Mixture of within and between
USED TO DETERMINE WHETHER THERE IS ANY SIGNIFICANT DIFFERENCE BETWEEN 3 TESTS ON THE SAME GROUP
ONE GROUP 3 IV WITH SUBGROUP FOR EACH IV E.G. 3C 4C 5C AND 400M 200M
TWO SEPERATE GROUPS WITH TWO SEPERATE SUB GROUPS E.G. MALE AND FEMALE AND ELITE AND NON ELITE
USED TO DETERMINE WHETHER THERE ARE ANY SIGNIFICANT DIFFERENCES BETWEEN THE MEANS OF 3 OR MORE GROUPS

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EFFECTS

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MAIN EFFECT
INTERACTION EFFECT

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THE INFLUENCE OF ONE IV ON THE DV IN ISOLATION
COMBINED EFFECT OF MUTIPLE IVS ON THE DV SIMULTANEOUSLY

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MAUCHLEYS TEST OF SPHERICITY

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SPHERICITY ASSUMED
G-G
H-F

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IF EPSILON BELOW 0.75
IF EPSILON ABOVE 0.75
IF NOT SIGNIFICANT

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MORE..

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DIFFERENCE EXISTS
WHICH IS DIFFERENT

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PAIRWISE
ANOVA

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