Reference no: EM133047386
EG5060 Statistics And Probability For Safety, Reliability And Quality - University of Aberdeen
Question 1. Suppose that X is a continuous random variable with probability distribution
fx(x) = x/18, 0 ≤ x ≤ 6
i) Find the probability distribution of the random variable Y = 2X + 10.
ii) Find the expected value of Y.
Question 2. In a research study on the thermal inertia properties of autoclaved aerated concrete, five samples were tested, and the interior temperature (°C) was reported as follows:
23.01, 22.22, 22.04, 22.62, and 22.59.
i) Construct a normal probability plot of the interior temperature and comment on the model suitability.
ii) Construct a 95% two-sided confidence interval for population standard deviation.
Question 3. It is known that a sample of 14.9, 16.8, 13.6, 17.3 and 15.4 comes from a population with the density function
fx(x) = x/θ2e-(x/θ), 0 ≤ x ≤ ∞
in which θ>0 is the parameter of the distribution. Find the maximum likelihood estimator for θ.
Question 4. Determine the covariance and correlation for the joint probability density function fXY(x, y) = 0.1 xy over the range 0 < x < 3 and 0 < y < x.
Question 5. The biochemical oxygen demand (BOD) test is conducted over a period of time in days at a particular location and the resulting data are as shown below:
x, Time (days)
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1
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2
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4
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6
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8
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10
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12
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14
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y, BOD (mg/litre)
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0.6
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0.7
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1.5
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1.9
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2.1
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2.6
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2.9
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3.7
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Given that
∑ xi = 57; ∑ yi = 16; ∑ xi2 =561 ;∑ xiyi =148.8; ∑ yi2 =39.98;
i) Assuming that a simple linear regression model is appropriate, obtain the least squares fit relating y and x.
ii) Draw a scatter plot of the data superimposed by the obtained regression model.
Question 6. In a test of a device to generate electricity from wave power at sea, 60 observations are made of the root mean square bending moment M of a component (in Newton metres). The data are summarised as follows. The sample mean is 5.08 and the sample variance is 3.29. Test the hypothesis that M has a normal distribution by performing a chi-square goodness-of-fit test at 5% significance level.
Class Frequency
M≤3 5
3<M≤4 12
4<M≤5 18
5<M≤6 11
6<M≤7 5
7<M≤8 4
8<M 5
Question 7. The life in hours of a 50-watt light bulb is known to be normally distributed with σ = 25 hours. A random sample of bulbs has a mean life (x¯) of 1014 hours. If the total width of the two-sided confidence interval on mean life is to be eight hours at 90% confidence, what sample size should be used?
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