Hypothesis Testing and the t-Test (AQA A-Level Further Maths): Flashcards
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Practise the cards
10 cards from this deck
Type I error in hypothesis testing
Type I error in hypothesis testing
Rejecting when it's actually true (false positive)
Type II error in hypothesis testing
Type II error in hypothesis testing
Accepting when it's actually false (false negative)
in hypothesis testing
in hypothesis testing
Probability of Type I error (equals significance level)
in hypothesis testing
in hypothesis testing
Probability of Type II error
How to control Type I error probability
How to control Type I error probability
Choose the significance level
Relationship between Type I and Type II errors
Relationship between Type I and Type II errors
Inverse - decreasing one increases the other
Power of a hypothesis test
Power of a hypothesis test
Probability of correctly rejecting a false
Formula for power of a test
Formula for power of a test
Three factors that affect test power
Three factors that affect test power
True parameter value, sample size, significance level
Effect of lowering significance level on Type II error
Effect of lowering significance level on Type II error
Increases Type II error probability ()