[LBY2STA] COMPARING SEVERAL MEANS

When do we use One-way ANOVA within subjects?

• When we want to compare the difference between the sample means assumptions are met

• When participants have been measured multiple times or when participants have been subjected to more than one conditions

• When we want to compare the difference between these groups

• When we collect data from more than two separate samples/groups

Tags

CCSS.HSS.ID.A.4

What is the purpose of Factorial ANOVA?

• To conduct non-parametric tests

• To compare test scores based on teaching methods

• To extend the basic ANOVA to include multiple independent variables (factors)

• To compare the difference between sample means

What are the assumptions for using One-way ANOVA between subjects?

• IV should be nominal with more than 3 groups/categories; DV should be interval/ratio

• IV should be ordinal with more than 2 groups/categories; DV should be interval/ratio

• IV should be nominal with more than 2 groups/categories; DV should be interval/ratio

• IV should be nominal with more than 2 groups/categories; DV should be ordinal

When is the Kruskal Wallis test used?

• For repeated measures ANOVA

• For non-parametric One-way ANOVA

• For factorial ANOVA

• For One-way ANOVA within subjects

What does sphericity refer to in the context of ANOVA?

• Variances of the differences should be equal

• Normal distribution of data

• Homogeneity of variance

• Independence of observation

What is the purpose of the Friedman test?

• To test the normality of data distribution

• To compare the difference between sample means

• To compare test scores based on teaching methods

• To conduct non-parametric repeated measures ANOVA

What is the main difference between One-way ANOVA between subjects and within subjects?

• Between subjects is used for non-parametric tests while within subjects is used for parametric tests

• Between subjects compares the same group under different conditions while within subjects compares different groups

• Between subjects requires normal distribution while within subjects does not

• Between subjects compares different groups while within subjects compares the same group under different conditions

What does Factorial ANOVA extend beyond basic ANOVA?

• To analyze data with only one independent variable

• To conduct non-parametric tests

• To compare test scores based on teaching methods

• To include multiple independent variables (factors)

What are the levels in the context of ANOVA?

• The different values or categories within each factor

• The combinations of levels from all factors

• The dependent variables

• The independent variables

Tags

CCSS.HSS.IC.B.3

What is the purpose of the Mauchly's test in ANOVA?

• To test the sphericity of the variance

• To check for normal distribution

• To ensure homogeneity of variance

• To test the independence of observations