91586 Marlborough Girls College Level 3 Mathematics and Statistics (Statistics) AS91586: Apply probability distributions in solving problems Credits: Four Answer ALL questions in the spaces provided in this booklet. Show ALL working for ALL questions. Check that this booklet has pages 2 – 8 in the correct order and that none of these pages is blank. YOU MUST HAND THIS BOOKLET TO THE SUPERVISOR AT THE END OF THE EXAMINATION. For Assessor’s use only Achievement Criteria Achievement Apply probability distributions in solving problems. Achievement with Merit Apply probability distributions, using relational thinking, in solving problems. Overall level of Performance Achievement with Excellence Apply probability distributions, using extended abstract thinking, in solving problems. Page 2 of 8 You are advised to spend 60 minutes answering the questions in this booklet. The Beach Resort Question One (a) The amount of money spent by a tourist in a beach resort is normally distributed with a mean of $782 with a standard deviation of $158. For marketing purposes, the local tourism board identifies three categories of tourists according to their spending: less than $600, at least $600 but less than $850, and $850 and over. (i) What proportion of tourists spends either less than $600 or $850 and over? (ii) Calculate the probability that a tourist selected at random spends more than $600, given that she spend less than $820. Page 3 of 8 (b) In order to further develop tourism in the beach resort, the council plans to build an artificial reef which could attract more surfers. In order to finance the artificial reef, the council plans to collect a levy from all operators of accommodations based on their income according to the following table: Tourist spending Levy Up to $450 $5 More than $450 but less than $600 $8 $600 and more $12 The plans for the reef will only go ahead if the council will be able to collect at least $100 000 in levies in the next season. It is expected that 12 000 tourists will spend their holiday in the resort in the next season and their spending on accommodation is expected to be normally distributed with a mean of $502 and a standard deviation of $83. By calculating the total expected levies, determine if the plan for the reef should go ahead. Page 4 of 8 Question Two The number of goals scored by the Glasgow Rangers Football Team over a large number of matches was recorded and is shown below. Goals per match (a) Calculate the expected number of goals in any given match. (b) A 2012 Home Game for Glasgow Celtic Football team had mean stadium occupancy of 92.33% with a standard deviation of 1.65%. (i) Use a distribution model to estimate the probability that a randomly selected match had greater than 95% occupancy. Page 5 of 8 (ii) State any assumptions that you made in (i). Comment on the validity of these assumptions. (c) Calculate an estimate for the probability that 4 consecutive games all have less than 90% occupancy. State any assumptions made in your estimate. Page 6 of 8 Question Three (a) A hotel is fully booked with 22 guests every night during summer. The manager was asked about how many people he expected to eat in the restaurant each night this coming year. He said that in the past there were rarely less than 5 people eating and usually about 12. Using an appropriate distribution, calculate the probability that at least 15 hotel guests eat at the hotel restaurant on an evening chosen at random. ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ (b) For 89 days in summer this year, the restaurant kept records of the number of guests who ate in the hotel restaurant each evening (graphed below). (i) Calculate the probability of more than 15 guests eating in the restaurant, as shown in the graph above. Page 7 of 8 (c) Discuss the differences between the model you used in part (a) and the distribution of actual guest numbers as shown by the graph above. ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ (d) Discuss how True Probability, Experimental Probability and Theoretical Probability are evident in the context of this problem. ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ ______________________________________________________________________________________ Page 8 of 8 (d) Show how you would change your distribution from part (a) in light of this new information in part (b). Justify your choices and re-calculate the probability of at least 15 guests eating at the restaurant.
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