# Significance tests (hypothesis testing)

## The idea of significance tests

### Practice

Writing null and alternative hypothesesGet 3 of 4 questions to level up!
Estimating P-values from simulationsGet 3 of 4 questions to level up!

## Error probabilities and power

### Practice

Type I vs Type II errorGet 3 of 4 questions to level up!
Error probabilities and powerGet 3 of 4 questions to level up!

## Testing hypotheses about a proportion

### Practice

Writing hypotheses for a test about a proportionGet 3 of 4 questions to level up!
Conditions for a z test about a proportionGet 3 of 4 questions to level up!
Making conclusions in a z test for a proportionGet 3 of 4 questions to level up!

## Testing hypotheses about a mean

### Practice

Writing hypotheses for a test about a meanGet 3 of 4 questions to level up!
Conditions for a t test about a meanGet 3 of 4 questions to level up!
Calculating the P-value in a t test for a meanGet 3 of 4 questions to level up!
Making conclusions in a t test for a meanGet 3 of 4 questions to level up!

### About this unit

If a basketball player says they make 75% of the shots they take, but they only make 65% of shots in a sample, does that mean they're lying? Significance tests give us a formal process for using sample data to evaluate how plausible a claim about a population value is. We calculate P-values to see how likely sample results are to occur by random chance, and we use P-values to make conclusions about hypotheses.