When should an ANOVA be used? Choose all that apply. You have two numerical data sets...

When should an ANOVA be used? Choose all that apply.

You have two numerical data sets to compare

You have 3 or more independent numerical data sets to compare

The numerical data is normally distributed.

When you need to use a non-parametric test

If you have three or more groups, why is it better to use an ANOVA rather than a t test? Choose all that apply.

It helps you incorrectly reject the null hypothesis.

It's faster and easier to run one statistical test than it is to run multiple t tests.

To increase type 1 error.

To reduce type 1 error.

What is type 1 error? Choose all that apply.

Error that leads to false negatives.

Error that leads to false positives.

Error that indicates the data is not significant when it is.

Error that indicates data is significant when it is not.

Solutions

Expert Solution

orchestra answered 1 year ago

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