When exploring the strength of the association between variables, which is the appropriate test? a. One-way...

When exploring the strength of the association between variables, which is the appropriate test?

a. One-way ANOVA

b. Paired sample t test

c. Correlation or regression

d. Factorial ANOVA

Solutions

Expert Solution

Solution: In Statistics, One-way Anova is used to determine whether there are any statistically significant difference between the means of two or more unrelated groups.

Paired sample t test is used to compare the population means where we have two samples in which observations in one sample can be paired with the other. Mostl this can happen when we have samples in before and after observations on the same subjects.

Also, experiments where effects of more than one factor are considered are analyzed using Factorial ANOVA.

We use correlation or regression in the scenario where we want to determine how are two variables related.

Regression is used to predic the value of a response variable given the explanatry variables and correlation is used to find the direction and strength between two variables.

Thus, option (c) Correlation or regression is the right answer.

orchestra answered 1 year ago

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