Questions and Answers of Principles Of Islamic Accounting

4.17 Two samples were drawn, each from a Normally distributed population, with the following results X1 = 45 s1 = 8 n1 = 12 X2 = 52 s2 = 5 n2 = 18 Estimate the difference between the population
4.16 A sample of 12 families in a town reveals an average income of £15 000 with standard deviation £6000. Why might you be hesitant about constructing a 95% confidence interval for the average
4.15 A sample of 16 observations from a Normally distributed population yields a sample mean of 30 with standard deviation 5. Find the 95% confidence interval estimate of the population mean.
4.14 (a) A sample of 954 adults in early 1987 found that 23% of them held shares. Given a UK adult population of 41 million and assuming a proper random sample was taken, find the 95% confidence
4.13 67% out of 150 pupils from school A passed an exam; 62% of 120 pupils at school B passed. Estimate the 99% confidence interval for the true difference between the proportions passing the exam.
4.12 (a) A sample of 200 women from the labour force found an average wage of £6000 p.a. with standard deviation £2500. A sample of 100 men found an average wage of £8000 with standard deviation
4.11 Given the sample data X1 = 25 X2 = 22 s1 = 12 s2 = 18 n1 = 80 n2 = 100 estimate the true difference between the means with 95% confidence.
4.10 A political opinion poll questions 1000 people. Some 464 declare they will vote Conservative. Find the 95% confidence interval estimate for the Conservative share of the vote.
4.9 Given the sample data p = 0.4, n = 50, calculate the 99% confidence interval estimate of the true proportion.
4.8 A random sample of 100 record shops found that the average weekly sale of a particular CD was 260 copies, with standard deviation of 96. Find the 95% confidence interval to estimate the true
4.7 Given the sample data X = 40 s = 10 n = 36 calculate the 99% confidence interval estimate of the true mean. If the sample size were 20, how would the method of calculation and width of the
4.6 Following the previous question, prove that the most precise unbiased estimate is obtained by setting w1 = w2 = (Hint: Minimise V(w1x1 + w2x2) with respect to w1 after substituting w2 = 1 − w1.
4.5 A random sample of two observations, x1 and x2, is drawn from a population. Prove that w1x1 + w2x2 gives an unbiased estimate of the population mean as long as w1 + w2 = 1. Hint: Prove that
4.4 Explain why an unbiased estimator is not always to be preferred to a biased one.
4.3 Explain the difference between an estimate and an estimator. Is it true that a good estimator always leads to a good estimate?
4.2 Is the 95% confidence interval (a) twice as wide, (b) more than twice as wide, (c) less than twice as wide, as the 47.5% interval? Explain your reasoning.
4.1 (a) Why is an interval estimate better than a point estimate? (b) What factors determine the width of a confidence interval?
3.25 (Project) Using a weekend’s football results from the Premier (or other) league, see if the number of goals per game can be adequately modelled by a Poisson process. First calculate the
3.24 (Project) An extremely numerate newsagent (with a spreadsheet program, as you will need) is trying to work out how many copies of a newspaper he should order. The cost to him per copy is 15p,
3.23 (Computer project) This problem demonstrates the Central Limit Theorem at work. In your spreadsheet, use the =RAND() function to generate a random sample of 25 observations (I suggest entering
3.22 A firm employing 100 workers has an average absenteeism rate of 4%. On a given day, what is the probability of (a) no workers, (b) one worker, (c) more than six workers being absent?
3.21 An experienced invoice clerk makes an error once in every 100 invoices, on average. (a) What is the probability of finding a batch of 100 invoices without error? (b) What is the probability of
3.20 A machine producing electronic circuits has an average failure rate of 15% (they’re difficult to make). The cost of making a batch of 500 circuits is £8400 and the good ones sell for £20
3.19 A coin is tossed 10 times. Write down the distribution of the number of heads: (a) exactly, using the Binomial distribution; (b) approximately, using the Normal distribution; (c) Find the
3.17 Ten adults are selected at random from the population and their IQ measured. (Assume a population mean of 100 and s.d. of 16 as in Problem 3.16.) (a) What is the probability distribution of the
3.16 IQ (the intelligence quotient) is Normally distributed with mean 100 and standard deviation 16. (a) What proportion of the population has an IQ above 120? (b) What proportion of the population
3.15 If x ~ N(10, 9) find (a) Pr(x > 12) (b) Pr(x < 7) (c) Pr(8 < x < 15) (d) Pr(x = 10).
3.14 Find the values of z which cut off (a) the top 10% (b) the bottom 15% (c) the middle 50% of the standard Normal distribution.
3.13 For the standard Normal variable z, find (a) Pr(z > 1.64) (b) Pr(z > 0.5) (c) Pr(z > −1.5) (d) Pr(−2 < z < 1.5) (e) Pr(z = −0.75). For (a) and (d), shade in the relevant areas on the graph
3.12 Repeat the previous Problem for the values μ = 2 and σ2 = 3. Use values of x from −2 to +6 in increments of 1.
3.11 Using equation (3.5) describing the Normal distribution and setting μ = 0 and σ2 = 1, graph the distribution for the values x = −2, −1.5, −1, −0.5, 0, 0.5, 1, 1.5, 2.
3.10 The UK record for the number of children born to a mother is 39, 32 of them girls. Assuming the probability of a girl in a single birth is 0.5 and that this probability is independent of
3.9 A firm receives components from a supplier in large batches, for use in its production process. Production is uneconomic if a batch containing 10% or more defective components is used. The firm
3.8 If the probability of a boy in a single birth is and is independent of the sex of previous babies then the number of boys in a family of 10 children follows a Binomial distribution with mean 5
3.6 Sketch the probability distribution for the number of accidents on the same stretch of road in one year. How and why does this differ from your previous answer? 3.7 Six dice are rolled and the
3.5 Sketch the probability distribution for the number of accidents on a stretch of road in one day.
3.4 A train departs every half hour. You arrive at the station at a completely random moment. Sketch the probability distribution of your waiting time. What is your expected waiting time?
3.3 Sketch the probability distribution for the likely time of departure of a train. Locate the timetabled departure time on your chart.
3.2 Two dice are thrown and the absolute difference of the two scores recorded. Graph the resulting probability distribution and calculate its mean and variance. What is the probability that the
3.1 Two dice are thrown and the sum of the two scores is recorded. Draw a graph of the resulting probability distribution of the sum and calculate its mean and variance. What is the probability that
2.28 A multiple choice test involves 20 questions, with four choices for each answer. (a) If you guessed the answers to all questions at random, what mark out of 20 would you expect to get? (b) If
2.27 The BMAT test (see http://www.ucl.ac.uk/lapt/bmat/) is an on-line test for prospective medical students. It uses ‘certainty based marking’. After choosing your answer from the alternatives
2.26 This problem is tricky, but amusing. Three gunmen, A, B and C, are shooting at each other. The probabilities that each will hit what they aim at are respectively 1, 0.75, 0.5. They take it in
2.25 There are 25 people at a party. What is the probability that there are at least two with a birthday in common? Hint: the complement is (much) easier to calculate.
2.24 A firm can build a small, medium or large factory, with anticipated profits from each dependent upon the state of demand, as in the table below. Factory Demand Low Middle High Small 300 320 330
2.23 A firm has a choice of three projects, with profits as indicated below, dependent upon the state of demand. Project Demand Low Middle High A 100 140 180 B 130 145 170 C 110 130 200 Probability
2.22 A man is mugged and claims that the mugger had red hair. In police investigations of such cases, the victim was able correctly to identify the assailant’s hair colour 80% of the time. Assuming
2.21 (a) Your initial belief is that a defendant in a court case is guilty with probability 0.5. A witness comes forward claiming he saw the defendant commit the crime. You know the witness is not
2.20 A test for AIDS is 99% successful, i.e. if you are HIV+ it will detect it in 99% of all tests, and if you are not, it will again be right 99% of the time. Assume that about 1% of the population
2.19 A coin is either fair or has two heads. You initially assign probabilities of 0.5 to each possibility. The coin is then tossed twice, with two heads appearing. Use Bayes’ theorem to work out
2.18 The UK national lottery works as follows. You choose six (different) numbers in the range 1 to 49. If all six come up in the draw (in any order) you win the first prize, expected to be around
2.11 At another stall, you have to toss a coin numerous times. If a head does not appear in 20 tosses you win £1 bn. The entry fee for the game is £100. (a) What are your expected winnings? (b)
2.10 ‘Roll six sixes to win a Mercedes!’ is the announcement at a fair. You have to roll six dice. If you get six sixes you win the car, valued at £20 000. The entry ticket costs £1. What is
2.9 A newspaper advertisement reads ‘The sex of your child predicted, or your money back!’ Discuss this advertisement from the point of view of (a) the advertiser and (b) the client.
2.8 In March 1994 a news item revealed that a London ‘gender’ clinic (which reportedly enables you to choose the sex of your child) had just set up in business. Of its first six births, two were
2.7 Judy is 33, unmarried and assertive. She is a graduate in political science, and involved in union activities and anti-discrimination movements. Which of the following statements do you think is
2.6 How might you estimate the probability of a corporation reneging on its bond payments?
2.5 How might you estimate the probability of Peru defaulting on its debt repayments next year?
2.4 (a) Translate the following odds to ‘probabilities’: 13/8, 2/1 on, 100/30. (b) In the 2.45 race at Plumpton on 18/10/94 the odds for the five runners were: Philips Woody 1/1 Gallant Effort
2.3 ‘Odds’ in horserace betting are defined as follows: 3/1 (three-to-one against) means a horse is expected to win once for every three times it loses; 3/2 means two wins out of five races; 4/5
2.2 The following data give duration of unemployment by age, in July 1986. Age Duration of unemployment (weeks) Total Economically active 8 8–26 26–52 >52 (000s) (000s) (Percentage figures)
2.1 Given a standard pack of cards, calculate the following probabilities: (a) drawing an ace; (b) drawing a court card (i.e. jack, queen or king); (c) drawing a red card; (d) drawing three aces
1C.9 Evaluate: , 41/4, 12−3 , 25 −3/2. 1C.10 Evaluate: , 81/4, 150 , 120 , 3−1/3 30 17 .
1C.8 Find the anti-ln of the following values: 3.496508, 14, 15, −1.
1C.7 Find the anti-ln of the following values: 2.70805, 3.70805, 1, 10.
1C.6 Find the anti-log of the following values: −0.09691, 2.3, 3.3, 6.3.
1C.5 Find the anti-log of the following values: −0.823909, 1.1, 2.1, 3.1, 12.
1C.4 Find the ln of the following values: 0.3,e, 3, 33, −1.
1C.3 Find the natural logarithms of: 0.15, 1.5, 15, 225, −4.
1C.2 Find the log of the following values: 0.8, 8, 80, 4, 16, −37.
1C.1 Find the common logarithms of: 0.15, 1.5, 15, 150, 1500, 83.7225, 9.15, −12.
1.28 Project 2: Is the employment and unemployment experience of the UK economy worse than that of its competitors? Write a report on this topic in a similar manner to the project above. You might
1.27 Project 1: Is it true that the Conservative government in the UK 1979–1997 lowered taxes, while the Labour government 1997–2007 raised them? You should gather data that you think are
1.26 Criticise the following statistical reasoning. Among arts graduates 10% fail to find employment. Among science graduates only 8% remain out of work. Therefore, science graduates are better than
1.25 Criticise the following statistical reasoning. The average price of a dwelling is £54 150. The average mortgage advance is £32 760. So purchasers have to find £21 390, that is, about 40% of
1.24 Demonstrate, using Σ notation, that V(kx) = k2 V(x).
1.23 Demonstrate, using Σ notation, that E(x + k) = E(x) + k.
1.22 A bond is issued which promises to pay £400 per annum in perpetuity. How much is the bond worth now, if the interest rate is 5%? (Hint: the sum of an infinite series of the form + + + ... is
1.21 Depreciation of BMW and Mercedes cars is given in the following table: Age BMW 525i Mercedes 200E Current 22 275 21 900 1 year 18 600 19 700 2 years 15 200 16 625 3 years 12 600 13 950 4 years
1.20 A firm purchases for £30 000 a machine that is expected to last for 10 years, after which it will be sold for its scrap value of £3000. Calculate the average rate of depreciation per annum,
1.19 (a) A government bond is issued, promising to pay the bearer £1000 in five years’ time. The prevailing market rate of interest is 7%. What price would you expect to pay now for the bond? What
1.18 How would you expect the following time-series variables to look when graphed? (a) The price level. (b) The inflation rate. (c) The £/$ exchange rate.
1.17 How would you expect the following time-series variables to look when graphed? (e.g. Trended? Linear trend? Trended up or down? Stationary? Homoscedastic? Autocorrelated? Cyclical? Anything
1.16 Using the data from Problem 1.14: (a) Calculate the average rate of growth of the series for dwellings. (b) Calculate the standard deviation around the average growth rate. (c) Does the series
1.15 Using the data from Problem 1.13: (a) Calculate the average rate of growth of the series. (b) Calculate the standard deviation around the average growth rate. (c) Does the series appear to be
1.14 The table below shows the different categories of investment, 1986–2005. Year Dwellings Transport Machinery Intangible Other buildings fixed assets 1986 14 140 6527 25 218 2184 20 477 1987 16
1.13 The following data show car registrations in the UK during 1970–91 (source: ETAS, 1993, p. 57): Year Registrations Year Registrations Year Registrations 1970 91.4 1978 131.6 1986 156.9 1971
1.12 The average income of a group of people is £8000. 80% of the group have incomes within the range £6000–10 000. What is the minimum value of the standard deviation of the distribution?
1.11 On a test taken by 100 students, the average mark is 65, with variance 144. Student A scores 83, student B scores 47. (a) Calculate the z-scores for these two students. (b) What is the maximum
1.10 Demonstrate that the weighted average calculation given in equation (1.9) is equivalent to finding the total expenditure on education divided by the total number of pupils.
1.9 A motorist keeps a record of petrol purchases on a long journey, as follows: Petrol station 1 2 3 Litres purchased 33 40 25 Price per litre 55.7 59.6 57.0 Calculate the average petrol price for
1.8 Using the data from Problem 1.6: (a) Calculate the mean, median and mode of the distribution. Why do they differ? (b) Calculate the inter-quartile range, variance, standard deviation and
1.7 Using the data from Problem 1.5: (a) Calculate the mean, median and mode of the distribution. Why do they differ? (b) Calculate the inter-quartile range, variance, standard deviation and
1.6 The data below show the number of manufacturing plants in the UK in 1991/92 arranged according to employment: Number of employees Number of firms 1– 95 409 10– 15 961 20– 16 688 50– 7229
1.5 The distribution of marketable wealth in 1979 in the UK is shown in the table below (taken from Inland Revenue Statistics, 1981, p. 105): Range Number Amount 000s £m 0– 1606 148 1000– 2927
1.4 Using the data from Problem 1.2: (a) What is the premium, in terms of median earnings, of a degree over A levels? Does this differ between men and women? (b) Would you expect mean earnings to
1.3 Using the data from Problem 1.1: (a) Which education category has the highest proportion of women in work? What is the proportion? (b) Which category of employment status has the highest
1.2 The data below show the median weekly earnings (in £s) of those in full-time employment in Great Britain in 1992, by category of education. Degree Other higher A level GCSE A–C GCSE D–G None
1.1 The following data show the education and employment status of women aged 20–29 (from the General Household Survey): Higher A levels Other No Total education qualification qualification In work
Classify the following balance sheet items into assets, liabilities, and owners’ equity: ITEMS Cash Equipment Accounts payable Land Accounts receivable Common stock Building Notes payable Cash

Showing 100 - 200 of 392