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IB Mathematics: Applications and Interpretation HL · AHL 8: Statistics 2 · AHL 8.9
Name Date
Mixed practice: normal combinations, sample means and the central limit theorem Problem set B
Write the distribution you are using, then the calculator probability. Round to 3 significant figures.
Each question matches the question with the same number in set A. Do the ones you got wrong there.
Difficulty: first skills applying them stretch
Skills
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X and Y are independent, \(X\sim N(18,\,7)\) and \(Y\sim N(45,\,13)\). \(X_1,X_2\) are independent observations of X and \(Y_1,Y_2,Y_3\) are independent observations of Y. State the distribution of each.
- (a) \(W=3X+4Y-6\)
- (b) \(W=X_1-X_2\)
- (c) \(W=Y_1+Y_2+Y_3\)
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The mass of an item is a normal variable. Samples of independent items are taken and \(\bar X\) is the sample mean.
- (a) The mass has distribution \(N(120,\,30)\). State the distribution of \(\bar X\) for a sample of 5 items.
- (b) A second item has mass with mean 8.5 and standard deviation 1.2. Find the mean and the variance of the average mass of a batch of 15 such items.
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A random variable X has mean 70 and standard deviation 16. The distribution of X is not known. Give the approximate distribution of each quantity, or say that it cannot be found.
- (a) \(\bar X\) for a sample of 36 observations
- (b) \(\bar X\) for a sample of 10 observations
- (c) \(\sum_{i=1}^{50} X_i\)
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The volume of juice in a carton is normally distributed with mean 1.5 litres and standard deviation 0.12 litres. Find the probability that a randomly chosen carton holds less than 1.4 litres.
In context
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An airline weighs a traveller and their carry-on bag. The mass of a traveller, in kg, is normally distributed with mean 72.5 and variance 9.6. The mass of the bag, in kg, is normally distributed with mean 6.2 and variance 1.4. The two masses are independent.
- (a) State the distribution of the total mass T and find any parameters.
- (b) Find the probability that the total mass is more than 85 kg.
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Two taxi firms serve the same route. The journey time with firm A, A minutes, is normally distributed with mean 24.3 and variance 0.64. The journey time with firm B, B minutes, is normally distributed with mean 23.8 and variance 0.36. The times are independent.
- (a) Find the mean and the standard deviation of D = A − B.
- (b) Find the probability that A is less than B.
- (c) Find the probability that A is less than B by more than 0.5.
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The length of a plank, X metres, is normally distributed with mean 4.2 and variance 0.16. The length of a pole, Y metres, is normally distributed with mean 2.0 and variance 0.09. Planks and poles are chosen independently.
- (a) Find the probability that a randomly chosen plank is more than twice as long as a randomly chosen pole.
- (b) Find the probability that the total length of 3 randomly chosen planks and 2 randomly chosen poles is more than 17 metres.
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The time a student spends on homework each evening is normally distributed with mean 55 minutes and standard deviation 8 minutes. A random sample of 6 evenings is taken. Find the probability that the mean time is more than 58 minutes.
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The number of emails a teacher receives in a day has mean 32 and standard deviation 9, with an unknown distribution. Find the probability that the mean number of emails over a random sample of 50 days is between 30 and 34.
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The mass of a bag of oranges has mean 1.8 kg and standard deviation 0.3 kg. A pallet carries 48 randomly chosen bags. Use the central limit theorem to find the probability that the total mass of the bags is less than 88 kg.
Stretch
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The random variable X has mean 120 and standard deviation 30. A sample of 36 independent observations is taken. Find \(P(|\bar X-115|>9)\).
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The mass of a bag of flour is normally distributed with mean 1000 g and variance 25 g². Bags are checked in batches of 5. A batch is rejected if the average mass is less than 996 g or more than 1005 g.
- (a) Find the mean and the variance of the average of a random sample of this size.
- (b) Hence find the probability that a batch is rejected.
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X and Y are independent, \(X\sim N(6,\,5)\) and \(Y\sim N(28,\,4)\). \(X_1,X_2\) are independent observations of X and \(Y_1,Y_2\) are independent observations of Y. Find \(P(Y_1-Y_2>X_1+X_2)\).
jmaths.xyz · AI HL · AHL 8.9 Mixed practice: normal combinations, sample means and the central limit theorem