Hypothesis Testing, T Test, ANOVA

These flashcards cover key concepts and terminology related to hypothesis testing, t tests, and ANOVA based on the lecture notes.

What is a hypothesis?

An educated guess formulated at the start of an investigation; must be testable.

What is the null hypothesis (H0)?

There is no significant difference between the groups.

What does a significance level of 0.05 indicate?

There is a 5% chance of being wrong in rejecting the null hypothesis.

Define a one-tailed hypothesis.

Involves a direction of the distribution either under or above a specified value.

What is a two-tailed hypothesis?

Involves the whole distribution, considering differences that could go either way.

What is a Type 1 error?

Rejecting a true null hypothesis and accepting a false alternative hypothesis.

What is a Type 2 error?

Not rejecting a false null hypothesis.

What does 'power of a study' mean?

The probability of rejecting a false null hypothesis.

What is the purpose of a t test?

To compare the means of two groups of normal data.

What is Analysis of Variance (ANOVA)?

A statistical method used to compare the means of more than two groups.