Data - Mathematics - Exam, Exams of Mathematics

This is the Past Exam of Mathematics which includes Determine, Represents, Angle, Measured, Formula, Measured in Degrees, Value, Exact Value, Formula, Numerically etc. Key important points are: Data, Response Times, Integrated Circuits, Interquartile Range, Patien, Sample, Treated, Particular Disease, Split, Other Group

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2012/2013

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MATH 161 Jan. 2010
EXAMINER: Dr A.Piunovskiy, Extension 44737
Time allowed: Two and a half hours
Answer all of Section A and THREE questions from Section B.
Only the best three answers from Section B will be taken into account.
Normal and Chi-squared tables are provided at the end of the paper.
Paper Code MATH 161 Page 1 of 8 CONTINUED
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MATH 161 — Jan. 2010

EXAMINER: Dr A.Piunovskiy, Extension 44737

Time allowed: Two and a half hours

Answer all of Section A and THREE questions from Section B. Only the best three answers from Section B will be taken into account. Normal and Chi-squared tables are provided at the end of the paper.

SECTION A

  1. The following data give the response times of 20 integrated circuits (in picoseconds):

4.6, 4.0, 3.7, 4.1, 4.1, 5.6, 4.5, 5.1, 6.0, 3.4, 5.1, 4.6, 3.7, 4.2, 4.6, 4.7, 4.1, 3.7, 3.4, 3.

(i) Display the above data as a stem-and-leaf plot. Describe the shape of the distribution. [4 marks]

(ii) Calculate the median and the interquartile range of the above data. [4 marks]

  1. A sample of patients with a particular disease was split into two groups; patients in one group were treated with drug A whilst those in the other group were treated with drug B. Each patient was then assessed to see if they had responded to treatment or not. The results were as follows

Response to treatment Drug Yes No A 30 42 B 18 54

Test the hypothesis that there is no association between the drug given and the response to treatment. [8 marks]

  1. (i) Suppose two events A and B are such that A ∩ B 6 = ∅. Draw the corresponding Venn diagram and use it to prove that P (A ∪ B) = P (A) + P (B) − P (A ∩ B). In general case, prove that P (A ∪ B) ≤ P (A) + P (B). [4 marks]

(ii) Show that, for any two events A and B,

P (A ∩ B) ≤ min{P (A), P (B)}.

[4 marks]

SECTION B

  1. Suppose it has been observed that, on average, 180 cars per hour pass a specified point on a particular road in the morning rush hour.

(i) Let X be the (random) number of cars passing that point in one minute interval. What is the reasonable probability distribution of X? Calculate E[X]. [5 marks] (ii) Due to impending roadworks it is estimated that congestion will occur closer to the city centre if more than 5 cars pass the point in any one minute. What is the probability of congestion occurring during any one minute interval? [8 marks] (iii) Calculate probability that there will be no congestion during a 20 minutes time interval. [7 marks]

  1. An industrial designer wants to determine the average amount of time it takes an adult to assemple an ‘easy-to-assemble’ toy. He has in hand the following n=24 observations xi (in minutes):

17 13 18 19 17 21 29 22 16 28 21 15 26 23 24 20 8 17 17 21 32 18 25 22 (i) Calculate the arithmetic average ¯x (the sample mean) and the sample variance s^2 using formula

s^2 =

∑ x^2 i − (

∑ xi)^2 /n n − 1

[5 marks] (ii) If the assemble time X is normally distributed, use your calculations to estimate the probability that X > 30. Here you can assume that ¯x and s^2 coincide with the population mean and variance. [6 marks]

(iii) Calculate a 90% confidence interval for the exact value of the population mean μ. Here and below, you can assume that V ar = σ^2 = s^2 is known. [6 marks] (iv) Suppose instead you were asked to calculate a 99% confidence interval. Without carrying out any further calculations, say whether the 99% confidence interval will be wider or narrower than the interval calculated in part (iii) above, explaining your reasoning. [3 marks]

  1. (i) For a random variable X which is Poisson distributed with parameter λ, show that the expectation E[X] is given by E[X] = λ. [6 marks]

(ii) A group of students form a football team. In their first 90 matches they score the following numbers of goals.

Goals 0 1 2 3 4 Number of matches 18 30 27 9 6

Test at the 5% level the hypothesis that these data are drawn from a Poisson distribution with mean 1; [6 marks] a Poisson distribution with mean determined from the data. [8 marks]

  1. An expensive electronic toy made by Acme Gadgets Inc. is defective with probability 10−^3. These toys are so popular that they are copied and sold illegally. Pirate versions capture 10% of the market, and any pirated copy is defective with probability 0.5.

(i) If you buy a toy, what is the probability that it is defective? [6 marks] (ii) If your toy is defective what is the probability that you bought an au- thentic product of Acme Gadgets Inc.? (Only in this case you are able to get a replacement.) [7 marks]

(iii) If you get a nondefective toy (possibly after replacement) you loose noth- ing, but if you get a defective pirate version (which will not be replaced) you simply loose the price of the toy, say £30. How much do you loose on average each time you buy this toy? [7 marks]

Paper Code MATH 161 Page 8 of 8 END