Lesson 3B.4.2
3B.4.2 Hypothesis tests for the binomial distribution Quiz: Pearson Edexcel Further Maths, Unit 13
20 questions
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Lesson 3B.4.2, Hypothesis tests for the binomial distribution: 20 multiple choice questions for the Pearson Edexcel Further Maths (9FM0), Unit 13: Hypothesis testing, written with Revision Ninja.
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The 20 questions
-
In a hypothesis test for a binomial distribution, in terms of what are the hypotheses stated?
- The sample size n only
- The probability p
- The mean of a normal approximation
- The sample proportion x/n only
-
Under H0 with success probability p0, what is the distribution of X in a binomial test with n trials?
- Po(n p0)
- B(n, p0)
- N(n p0, 1)
- Geo(p0)
-
X ~ B(10, 0.5). H0: p = 0.5, H1: p > 0.5. X = 8 is observed. What is P(X >= 8) and the decision at the 5% level?
- 0.0107, reject H0
- 0.1094, do not reject H0
- 0.0547, do not reject H0
- 0.0547, reject H0
-
X ~ B(10, 0.5). H0: p = 0.5, H1: p > 0.5. X = 9 is observed. What is P(X >= 9) and the decision at the 5% level?
- 0.0547, reject H0
- 0.0107, do not reject H0
- 0.0107, reject H0
- 0.0010, reject H0
-
X ~ B(20, 0.3). H0: p = 0.3, H1: p < 0.3. X = 2 is observed. What is the p-value to 3 decimal places and the decision at the 5% level?
- About 0.278, do not reject H0
- About 0.035, reject H0
- About 0.107, reject H0
- About 0.035, do not reject H0
-
For H1: p < p0 in a binomial test, which values of X form the critical region?
- Values near n/2 only
- Small values of X
- All values of X
- Large values of X
-
A fair die is rolled 10 times and no sixes appear. H0: p = 1/6, H1: p < 1/6. What is the decision at the 5% level?
- P(X = 0) is about 0.8385, so do not reject H0
- P(X = 0) is about 0.0323, so reject H0
- P(X = 0) is about 0.1615, so reject H0
- P(X = 0) is about 0.1615, so do not reject H0
-
X ~ B(8, 0.25). H0: p = 0.25, H1: p > 0.25. X = 4 is observed. What is the decision at the 5% level?
- P(X >= 4) is about 0.114, so reject H0
- P(X >= 4) is about 0.021, so reject H0
- P(X >= 4) is about 0.886, so do not reject H0
- P(X >= 4) is about 0.114, so do not reject H0
-
X ~ B(12, 0.5). H0: p = 0.5, H1: p > 0.5. X = 10 is observed. What is the decision at the 5% level?
- P(X >= 10) is about 0.0193, so reject H0
- P(X >= 10) is about 0.0461, so reject H0
- P(X >= 10) is about 0.0384, so reject H0
- P(X >= 10) is about 0.0193, so do not reject H0
-
X ~ B(20, 0.5). H0: p = 0.5, H1: p > 0.5, at the 5% level. What is the smallest value of X in the critical region?
- 18
- 15
- 14
- 16
-
X ~ B(10, 0.1). H0: p = 0.1, H1: p > 0.1. X = 3 is observed. What is the decision at the 5% level?
- P(X >= 3) is about 0.070, so reject H0
- P(X >= 3) is about 0.070, so do not reject H0
- P(X >= 3) is about 0.930, so reject H0
- P(X >= 3) is about 0.013, so reject H0
-
What does a significance level of 5% guarantee in a binomial test?
- A Type I error probability of at most 0.05
- A power of exactly 0.95
- A Type II error probability of exactly 0.05
- Exactly 5% of samples will be rejected
-
X ~ B(15, 0.2). H0: p = 0.2, H1: p > 0.2. X = 6 is observed. What is the decision at the 5% level?
- P(X >= 6) is about 0.939, so do not reject H0
- P(X >= 6) is about 0.061, so reject H0
- P(X >= 6) is about 0.103, so reject H0
- P(X >= 6) is about 0.061, so do not reject H0
-
A machine is set to a 10% defect rate. In 20 items there are no defects. H0: p = 0.1, H1: p < 0.1. What is the decision at the 5% level?
- P(X = 0) is about 0.1216, so do not reject H0
- P(X = 0) is about 0.1216, so reject H0
- P(X = 0) is about 0.0180, so reject H0
- P(X = 0) is about 0.8784, so do not reject H0
-
X ~ B(40, 0.25) under H0. What is the expected count E(X)?
- 15
- 10
- 40
- 0.25
-
Two-tailed test with H1: p is not equal to 0.5 and n = 10 at the 5% level. Which critical region is appropriate?
- X = 5 only
- X <= 1 or X >= 9
- X <= 3 or X >= 7
- X <= 2 or X >= 8
-
In a hypothesis test, what does it mean when the observed value lies in the critical region?
- H1 is proven false, which means the null hypothesis has been accepted as correct
- H0 is rejected at the chosen significance level
- The sample size was too small to give a reliable answer to the question asked
- H0 is proven true, so the alternative hypothesis must be false in every case
-
X ~ B(15, 0.5). H0: p = 0.5, H1: p > 0.5. X = 12 is observed. What is the decision at the 5% level?
- P(X >= 12) is about 0.018, so do not reject H0
- P(X >= 12) is about 0.018, so reject H0
- P(X >= 12) is about 0.302, so do not reject H0
- P(X >= 12) is about 0.059, so reject H0
-
X ~ B(20, 0.5). H0: p = 0.5, H1: p < 0.5. X = 5 is observed. What is the decision at the 5% level?
- P(X <= 5) is about 0.021, so do not reject H0
- P(X <= 5) is about 0.021, so reject H0
- P(X <= 5) is about 0.058, so reject H0
- P(X <= 5) is about 0.979, so do not reject H0
-
When H0 is true, what is the largest probability with which a discrete binomial test can wrongly reject H0 at the 5% level?
- At least 0.5
- Exactly 0.95
- Exactly 0.5
- At most 0.05
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