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This is the Exam of Mathematics which includes Vector, Scalar Product, Vector Product, Speed, Acceleration, Particle, Position, Magnitude, Same Direction etc. Key important points are: Shape, Survival Times, Granulocytic Leukemia, Data, Median, Measure of Location, Probability Density Function, Continuous Random Variable, Value, Probability
Typology: Exams
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16, 21, 22, 6, 40, 2, 10, 26, 14, 13, 15, 35, 2, 8, 4, 6, 19, 4, 14, 18.
(a) Display the above data as a stem-leaf plot. [4 marks] (b) Describe the shape of the distribution. [2 marks] (c) Calculate the median survival time. For this data, would you prefer the median or the mean as a measure of location? Explain your answer. [2 marks]
for some constant
(a) Show that the value of the constant is. [2 marks] (b) State the probability of [1 mark] (c) Calculate [2 marks] (d) Calculate the variance of [3 marks]
1 2 3 4 5 6 1/16 3/16 1/4 3/16 1/
(a) Find the value of and the mean of [2 marks] (b) Find the standard deviation of [3 marks] (c) Calculate the conditional probability [3 marks]
(a) Verify that the binomial distribution can be approximated by a normal distribution. [1 mark] (b) Find the probability that more than 170 patients keep their appointments. [2 marks] (c) Calculate the probability that the number of people keep their appointment, , lies in the range [4 marks]
(a) Events and are such that and.
(i) Explain why the events and are not independent.
(ii) Find the value of
[5 marks]
(b) Two events and are such that
, , calculate the probability that
(i) both events occur, (ii) only one of the events occurs, (iii) neither event occurs. [7 marks]
(c ) A system consists of six components as illustrated below. Components 2 and 3 are connected in parallel, so that subsystem works if either 2 or 3 works. Since components 4 and 5 are connected in series, that subsystem works if both 4 and 5 work. Components work independently of one another and the probability any given component works is 0.9. Calculate the probability that the system works from START to FINISH.
[8 marks]
4 5
2
3 START 1 6 FINISH
Number of defective, 0 1 2 3 4 5 Frequency 1 6 14 33 31 15
It is suggested that the above data might be expected to follow a binomial distribution.
(a) On the assumptions that the actual number of defectives, , follows a binomial distribution with parameters and , estimate. [4 marks]
(b) Calculate the binomial probabilities for where is a random variable following the binomial distribution with and success probability equal to the value estimated in part (a) above. [6 marks]
(c) Use a goodness of fit test at the 5% level to assess whether the binomial distribution is appropriate for the given data. [10 marks]
(a) A study of the relationship between facility conditions at gasoline stations and aggressiveness in the pricing of gasoline reports the accompanying data based on a sample of stations.
Observed pricing policy Aggressive Neutral Nonaggressive Total
Condition
Substandard 24 15 17 56 Standard (^52 73 80) 205 Modern 58 86 36 180 Total 134 174 133 441
Test at the 5% significance level the hypothesis that there is no association between the facility condition and the pricing policy. [10 marks]
(b) An unmanned monitoring system uses high-tech video equipment and microprocessors to detect intruders. A prototype system has been developed and is in use outdoors at a weapons munitions plant. The system is designed to detect intruders with a probability of 0.90. However, the design engineers expect this probability to vary with weather condition. The system automatically records the weather condition each time an intruder is detected. Based on a series of controlled tests, in which an intruder was released at the plant under various weather conditions, the following information is available: Given the intruder was, in fact, detected by the system, the weather was clear 75% of the time, cloudy 20% of the time, and raining 5% of the time. When the system failed to detect the intruder, 60% of the days were clear, 30% cloudy, and 10% rainy. Use this information to find the probability of detecting an intruder, given rainy weather conditions.(Assuming that an intruder has been released at the plant.)
[10 marks]
(a) For a random variable which is Poisson distributed with parameter , show that the
expectation is given by.
Show also that the variance of is equal to. [11 marks]
(b) The school photocopier breaks down, on average, eight times during the school week
(Monday to Friday). Assuming that the number of breakdowns in any period can be
modelled by a Poisson distribution, find the probability that it breaks down
(i) five times in a given week,
(ii) once on Monday,
(iii) eight times in a fortnight.
[9 marks]