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MA4302 Applied Statistics for Accounting Dr. D. Ramsey Resits ...

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<strong>MA4302</strong> <strong>Applied</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Accounting</strong> <strong>Dr</strong>. D. <strong>Ramsey</strong> <strong>Resits</strong> 2010/11<br />

Question 1. i) The following data give the height of 30 randomly chosen Irish male<br />

adults (in cm).<br />

154; 157; 159; 161; 162; 164; 169; 170; 173; 174;<br />

175; 175; 176; 176; 176; 177; 180; 182; 182; 183;<br />

184; 185; 186; 188; 189; 191; 191; 193; 194; 199<br />

(a). <strong>Dr</strong>aw a histogram illustrating the distribution of height.<br />

(b). Comment briefly of the shape of this distribution.<br />

ii) IQ has a normal distribution with mean 100 and standard deviation 15.<br />

[5 marks]<br />

[1 mark]<br />

(a). Calculate the probability that a randomly chosen individual has an IQ<br />

greater than 124.<br />

[3 marks]<br />

(b). Calculate the IQ value that is exceeded by 10% of the population.<br />

[4 marks]<br />

iii) Suppose the distribution of monthly salaries of full-time workers in the UK has<br />

a Pareto distribution with minimum monthly salary xm = 1000 and concentration<br />

factor α = 3. Calculate<br />

(a). the mean monthly salary of UK full-time workers.<br />

[2 marks]<br />

(b). the probability that a UK full-time worker earns more than 2000 per month.<br />

[2 marks]<br />

(c). the median monthly salary of UK full-time workers.<br />

1<br />

[3 marks]


<strong>MA4302</strong> <strong>Applied</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Accounting</strong> <strong>Dr</strong>. D. <strong>Ramsey</strong> <strong>Resits</strong> 2010/11<br />

Question 2. i) The discrete random variable X has the following distribution:<br />

x 0 1 2 3<br />

P (X = x) 0.1 0.3 0.4 k<br />

(a). Calculate the value of the constant k.<br />

(b). Calculate the expected value of the random variable X, E(X).<br />

[2 marks]<br />

[2 marks]<br />

(c). Suppose S is the sum of 100 numbers chosen independently from this distribution,<br />

calculate E(S).<br />

[2 marks]<br />

ii) A certain bank classifies the recipients of its mortgage loans as being low,<br />

medium or high risk. Past history has shown that 3% of low risk, 10% of medium<br />

risk and 30% of high risk borrowers default on their loans. 60% of borrowers are<br />

classified as low risk, 30% are classified as medium risk and 10% are classified as<br />

high risk.<br />

(a). Calculate the probability that a randomly chosen borrower defaults on<br />

his/her loan.<br />

[4 marks]<br />

(b). Suppose that an individual defaults on their loan. Calculate the probability<br />

that such an individual was classified as being high risk.<br />

[3 marks]<br />

iii) A die is thrown 10 times. Let X be the number of sixes obtained.<br />

(a). What is the distribution of X (give its name and the values of the relevant<br />

parameters)?<br />

[1 mark]<br />

(b). Calculate the probability that no sixes are obtained i.e. P (X = 0).<br />

(c). Calculate the probability that at least two sixes are obtained.<br />

2<br />

[2 marks]<br />

[4 marks]


<strong>MA4302</strong> <strong>Applied</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Accounting</strong> <strong>Dr</strong>. D. <strong>Ramsey</strong> <strong>Resits</strong> 2010/11<br />

Question 3. i) A sample of 64 Irish full-time workers was taken at random. The mean<br />

and standard deviation of the monthly salaries of these individuals were 3000<br />

and 1600, respectively.<br />

(a). On the basis of this sample, calculate a 95% confidence interval <strong>for</strong> the mean<br />

monthly salary of all Irish full-time workers.<br />

[4 marks]<br />

(b). By calculating the appropriate p-value, test the null hypothesis that the<br />

mean monthly salary is 2500 at a significance level of 1%.<br />

[6 marks]<br />

ii) The heights of 10 Americans and 10 Japanese were measured. The data and<br />

some descriptive statistics are given below.<br />

Individual American Japanese Difference<br />

1 174 172 2<br />

2 163 177 -14<br />

3 178 153 25<br />

4 170 171 -1<br />

5 197 168 29<br />

6 155 173 -18<br />

7 163 159 4<br />

8 180 183 -3<br />

9 172 156 16<br />

10 172 174 -2<br />

Mean 172.4 168.6 3.8<br />

Std. Dev. 11.46 9.65 15.39<br />

(a). Is there sufficient evidence to claim that the average height of these nationalities<br />

differ? State your null and alternative hypotheses clearly.<br />

[6 marks]<br />

(b). Calculate a 95% confidence interval <strong>for</strong> the mean difference in height between<br />

these nationalities.<br />

[4 marks]<br />

3


<strong>MA4302</strong> <strong>Applied</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Accounting</strong> <strong>Dr</strong>. D. <strong>Ramsey</strong> <strong>Resits</strong> 2010/11<br />

Question 4. i) The following contingency table illustrates the relation between eye<br />

and hair colour.<br />

Blond Hair Red Hair Dark Hair<br />

Blue Eyes 600 300 400<br />

Brown Eyes 400 200 600<br />

Test the hypothesis that there is no association between hair and eye colour at a<br />

significance level of 5%.<br />

[8 marks]<br />

ii) A survey of school leavers shows that 30 of 90 males want to study <strong>for</strong> a<br />

humanities degree, while 50 of 110 females wish to do so.<br />

(a). Calculate a 95% confidence interval <strong>for</strong> the proportion of males wishing to<br />

study <strong>for</strong> a humanities degree.<br />

[5 marks]<br />

(b). Using the appropriate testing procedure, test the hypothesis that the proportion<br />

of males wishing to study <strong>for</strong> a humanities degree equals the proportion<br />

of females wishing to study <strong>for</strong> a humanities degree.<br />

[7 marks]<br />

4


<strong>MA4302</strong> <strong>Applied</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Accounting</strong> <strong>Dr</strong>. D. <strong>Ramsey</strong> <strong>Resits</strong> 2010/11<br />

Question 5. The following data and scatter plot illustrates the retail price index (RPI)<br />

from 1950 to 1995 in Ruritania (1950 is year 0 and 1995 is year 45). The two<br />

final tables give results of linear and exponential regression analysis, respectively.<br />

Year 0 5 10 15 20<br />

RPI 113.83 130.91 151.84 174.38 199.37<br />

Year 25 30 35 40 45<br />

RPI 232.54 272.06 320.85 375.71 445.40<br />

Figure 1: Results of Linear Regression Analysis<br />

5


<strong>MA4302</strong> <strong>Applied</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Accounting</strong> <strong>Dr</strong>. D. <strong>Ramsey</strong> <strong>Resits</strong> 2010/11<br />

Figure 2: Results <strong>for</strong> Fitting an Exponential Curve<br />

(a). Assuming that the values of RPI <strong>for</strong>m a time series with no long-term trend,<br />

predict the RPI in 2000 using a moving average of order 2.<br />

[2 marks]<br />

(b). Give the equation <strong>for</strong> the regression line describing RPI as a linear function<br />

of year and use this equation to predict the RPI in 2000.<br />

[3 marks]<br />

(c). Now treat the observations of RPI as a time series with a linear trend. Using<br />

a moving average of order 2 to estimate the slope, predict the RPI in 2000.<br />

[3 marks]<br />

(d). Give the equation <strong>for</strong> the regression curve describing RPI as an exponential<br />

function of year and use this equation to predict the RPI in 2000.<br />

[3 marks]<br />

(e). Now treat the observations of RPI as a time series with an exponential trend.<br />

Using a moving average of order 2 to estimate the growth rate, predict the<br />

RPI in 2000.<br />

[5 marks]<br />

(f). Which of the five predictions made above is the most reliable? Give brief<br />

reasons <strong>for</strong> your answer.<br />

[4 marks]<br />

6

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