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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 A
Write the distribution you are using, then the calculator probability. Round to 3 significant figures.
Difficulty: first skills applying them stretch
Skills
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X and Y are independent, \(X\sim N(34,\,11)\) and \(Y\sim N(21,\,6)\). \(X_1,X_2\) are independent observations of X and \(Y_1,Y_2,Y_3\) are independent observations of Y. State the distribution of each.
- (a) \(W=5X-2Y+3\)
- (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 \(N(75,\,18)\). State the distribution of \(\bar X\) for a sample of 6 items.
- (b) A second item has mass with mean 2.4 and standard deviation 0.5. Find the mean and the variance of the average mass of a batch of 10 such items.
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A random variable X has mean 45 and standard deviation 9. 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 60 observations
- (b) \(\bar X\) for a sample of 12 observations
- (c) \(\sum_{i=1}^{40} X_i\)
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The mass of a loaf from a bakery is normally distributed with mean 800 g and standard deviation 25 g. Find the probability that a randomly chosen loaf has mass less than 760 g.
In context
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A courier van collects parcels. The mass of a parcel, in kg, is normally distributed with mean 18.4 and variance 5.2. The mass of its packaging, in kg, is normally distributed with mean 1.3 and variance 0.16. 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 22 kg.
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Maya's time to solve a puzzle, A minutes, is normally distributed with mean 6.4 and variance 1.21. Noor's time, B minutes, is normally distributed with mean 7.1 and variance 0.81. 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 2.
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The length of a rope, X metres, is normally distributed with mean 3.1 and variance 0.09. The length of a chain, Y metres, is normally distributed with mean 1.4 and variance 0.04. Ropes and chains are chosen independently.
- (a) Find the probability that a randomly chosen rope is more than twice as long as a randomly chosen chain.
- (b) Find the probability that the total length of 2 randomly chosen ropes and 3 randomly chosen chains is more than 10.5 metres.
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A person's reaction time is normally distributed with mean 0.31 seconds and standard deviation 0.05 seconds. A random sample of 12 reaction times is taken. Find the probability that the mean time is less than 0.29 seconds.
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The daily sales of a shop have mean \$85 and standard deviation \$22, with an unknown distribution. Find the probability that the mean daily sales over a random sample of 45 days are between \$80 and \$90.
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The mass of a ceramic tile has mean 0.42 kg and standard deviation 0.05 kg. A box is packed with 60 randomly chosen tiles. Use the central limit theorem to find the probability that the total mass of the tiles is less than 25 kg.
Stretch
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The random variable X has mean 62 and standard deviation 14. A sample of 40 independent observations is taken. Find \(P(|\bar X-60|>4)\).
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The mass of a tablet is normally distributed with mean 250 mg and variance 4 mg². Tablets are checked in batches of 8. A batch is rejected if the average mass is less than 248.8 mg or more than 251.2 mg.
- (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, \(X\sim N(5,\,4)\) and \(Y\sim N(30,\,9)\). \(X_1,X_2\) 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