Lesson SC1-SC2
SC1-SC2 Type I and Type II errors and the power of a test: AQA Further Maths, Unit 4
20 questions
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Lesson SC1-SC2, Type I and Type II errors and the power of a test: 20 multiple choice questions for the AQA Further Maths (7367), Unit 4: Optional application 2: statistics, written with Revision Ninja.
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The 20 questions
-
A Type I error in a hypothesis test is:
- Accepting H0 when H1 is true
- Rejecting H0 when H0 is true
- Accepting H0 when H0 is true
- Rejecting H0 when H1 is true
-
A Type II error in a hypothesis test is:
- Rejecting H1 when H0 is true
- Accepting H0 when H1 is true
- Rejecting H0 when H0 is true
- Accepting H1 when H0 is true
-
The power of a test is defined as:
- 1 - P(Type II error)
- P(Type II error)
- P(Type I error)
- 1 - P(Type I error)
-
The probability of a Type I error for a test is equal to:
- The probability of accepting H0 when H1 is true
- The probability of accepting H0 under H1
- The power of the test
- The probability of the critical region under H0
-
Increasing the significance level of a test increases the probability of which error?
- Type II error
- Neither error
- Type I error
- Both errors decrease
-
In a medical context, what would a Type I error mean for a test of a new drug?
- Failing to detect a real effect
- Concluding the drug has no effect when it does
- Measuring the wrong dose
- Concluding the drug works when it does not
-
Which error is controlled directly by the chosen significance level?
- Power
- Type I error
- Type II error
- The sample size
-
H0: lambda = 2 is tested against H1: lambda < 2 with critical region X = 0 for X ~ Po(lambda). What is the probability of a Type I error, to 4 decimal places?
- 0.8647
- 0.3679
- 0.1353
- 0.0183
-
For the same test, H0: lambda = 2 against H1: lambda < 2 with critical region X = 0. What is the power when lambda = 1, to 4 decimal places?
- 0.6321
- 0.1353
- 0.3679
- 0.6065
-
For the same test with critical region X = 0 and true lambda = 1, what is the probability of a Type II error, to 4 decimal places?
- 0.1353
- 0.6065
- 0.3679
- 0.6321
-
H0: lambda = 5 against H1: lambda > 5 with critical region X >= 10. What is the probability of a Type I error, to 4 decimal places?
- 0.0318
- 0.05
- 0.0681
- 0.9682
-
A one-tailed z-test is carried out at the 5% significance level, using a normal distribution with known variance. What is the probability of a Type I error?
- 0.01
- 0.025
- 0.05
- 0.95
-
A two-tailed z-test is carried out at the 1% significance level. What is the probability of a Type I error?
- 0.5
- 0.99
- 0.005
- 0.01
-
A test has P(Type II error) = 0.3 when the alternative is true. What is its power?
- 0.5
- 0.3
- 0.1
- 0.7
-
A quality control test concludes a machine is faulty when it is actually working. Which error is this?
- Type II error
- No error
- Type I error
- Power error
-
A Poisson test has H0: lambda = 3 and reject H0 when X >= 6, with X ~ Po(3) under H0. What is the probability of a Type I error, to 4 decimal places?
- 0.0161
- 0.0508
- 0.9161
- 0.0839
-
For the test of H0: lambda = 2 against H1: lambda < 2 with critical region X = 0, what is the power when lambda = 0.5, to 4 decimal places?
- 0.3679
- 0.8647
- 0.1353
- 0.6065
-
For the same test when lambda = 0.5, what is the probability of a Type II error, to 4 decimal places?
- 0.6321
- 0.3935
- 0.3679
- 0.6065
-
If the significance level of a test is reduced from 0.05 to 0.01 with the alternative hypothesis fixed, what happens to the probability of a Type II error?
- It increases
- It becomes zero
- It is unchanged
- It decreases
-
For the test of H0: lambda = 4 against H1: lambda < 4 with critical region X <= 1, what is the probability of a Type I error, to 4 decimal places?
- 0.5000
- 0.0183
- 0.0916
- 0.9084
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