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R Programmingprogramming~5 mins

ANOVA in R Programming - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What does ANOVA stand for and what is its main purpose?
ANOVA stands for Analysis of Variance. It is used to compare the means of three or more groups to see if at least one group mean is different from the others.
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beginner
In R, which function is commonly used to perform a one-way ANOVA?
The aov() function is commonly used in R to perform a one-way ANOVA.
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beginner
What is the null hypothesis in an ANOVA test?
The null hypothesis states that all group means are equal, meaning there is no difference between the groups.
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beginner
What does a significant ANOVA result tell you?
A significant ANOVA result means that at least one group mean is different from the others, so the groups are not all the same.
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intermediate
How do you check the assumptions of ANOVA in R?
You check assumptions by looking at residual plots for normality and equal variance, and you can use tests like Shapiro-Wilk for normality and Levene's test for equal variances.
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Which R function is used to perform a one-way ANOVA?
At.test()
Baov()
Clm()
Dsummary()
What does a low p-value in ANOVA indicate?
AData is not normally distributed
BAll group means are equal
CAt least one group mean is different
DSample size is too small
Which assumption is NOT required for ANOVA?
AGroups must have the same sample size
BNormality of residuals
CIndependence of observations
DEqual variances across groups
What is the null hypothesis in ANOVA?
AAll group means are equal
BAt least one group mean differs
CData is normally distributed
DVariances are unequal
Which test can be used to check equal variances in ANOVA?
AChi-square test
BShapiro-Wilk test
Ct-test
DLevene's test
Explain the purpose of ANOVA and how it differs from a t-test.
Think about how many groups each test compares.
You got /4 concepts.
    Describe the key assumptions you must check before trusting ANOVA results.
    Consider what could affect the accuracy of ANOVA.
    You got /4 concepts.