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Reference materials; ducks.mwx In this EMA, you will analyse some data on the survival times of ducks described below. Some female ducks, taken from two

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Reference materials;

ducks.mwx

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In this EMA, you will analyse some data on the survival times of ducks described below. Some female ducks, taken from two locations in New J ersey, were captured and tted with radios over a period of about one month= starting in midNovember one particular year. Their progress was then closely monitored until late February the following year, when the experiment was terminated. Eighteen birds died eight from natural causes and ten due to hunters. The hunting season ended in midFebruary. The survival time is either the time until death or the time up to the end of the period of observation. [Data source: Pollock, K.H., W'interstein, SR. and Conroy, Md. (1989] 'Estimation and analysis of survival distributions for radiotagged animals', Biometrics, vol. 45, pp. 99109.) Question 1 3 marks Data on 50 of the ducks are given in the le ducks.mwx. In this le there are the following variables. 0 duck: a serial number that identies each duck. o survival: survival time [in days}. 0 death: '0' the duck was still alive at the end of the observation period? '1' the duck had died by the end of the observation period. 0 age: '05 the duck was a hatchyear duck (i.e. in its rst year of life}= '1' the duck was an adult (i.e. at least one year old). 0 weight: the weight [in grams} of the duck at the time of capture. 0 length: the winglength [in millimetres) of the duck at the time of capture. One duck was lighter than all the other ducks. By looking at the data given in the le ducks.n1wx, answer the following. (a) lill-That is the serial number of this duck? (b) lill-That was the winglength of this duck? 'Was it also the duck with the shortest winglength? Question 2 5 marks (a) Using Minitab, produce a stemplot of the weights of the ducks. Include a copy of this stemplot in your answer. (When producing the stemplot, you should leave the Increment eld blank and the Trim outliers option unselected, and make sure that the stemplot includes all the ducks.) (b) Use your stemplot to describe the shape of the distribution of weights of the ducks. Justify your answer. Question 3 18 marks Using the data given in ducks.mwx, a researcher wishes to construct a model to predict the winglength of a duck based on its weight. (a) Briey explain why the researcher should treat weight as an explanatory variable and winglength as a dependent variable. (b) Obtain a scatterplot of winglength against weight. Include this scatterplot in your answer. Interpret this scatterplot, giving reasons for your interpretation. (c) 1'What is the equation of the least squares regression line tted to these data? INith reference to a suitable residual plot [which you should include in your answer)= briey discuss whether or not the least squares regression line ts the data well. ((1) Using the line tted in part (c), predict the winglength of a duck that weighs 1200 g. Also state the 95% prediction interval for the winglength of a duck that weighs 1200 g. Give both of your answers rounded to the nearest whole number. Interpret the prediction interval. Question 4 13 marks A contingency table of the age of the ducks and whether or not their deaths had been observed is given below. Table 1 Age Hatchyear duck Adult duck Total Death not observed 19 13 32 Death observed 12 6 18 Total 31 19 50 Note that this table is given in the le duck death.rnwx. (a) Explain carefully why this table is correctly described as a contingency table. (b) 1'What is the probability that a randomly selected duck from this group was observed to have died? Give your answer to three decimal places. (c) 1What is the probability that a randomly selected duck from this group was observed to have died given that it was a hatchyear duck? Give your answer to three decimal places. ((1) Suppose that a researcher is interested in the following question: Does the age of a. duck aect whether or not the death of the duck was observed? (i) W'rite down suitable null and alternative hypotheses. (ii) Using the X2 test for contingency tables, test the hypotheses you wrote down in part (d)[i). Make sure to include in your answer: a a table of the expected values [with the expected values given to two decimal places) the value of the test statistic the degrees of freedom the p-value, or the values of CV5 and CV1 your conclusion from the test. Question 5 11 marks (a) (b) ((1) Using Minitab, or otherwise, produce a diagram containing boxplots of the weights for the hatch-year ducks and the weights of the adults. (These weights are given in separate columns, hatch-year and adult= of the le duck weightsnlwx.) Ensure that the boxplots are horizontal, have the same scale and are drawn on one diagram. Prepare these boxplots ready for inclusion in a report by ensuring that the title and the horizontal axis label are clear and informative. Include the finished boxplots in your answer. Complete the following table of summary statistics for the weights of ducks. (All the values should be rounded to the nearest whole number.) Table 2 Hatchyear ducks Adult ducks Numb er Mean Median Standard deviation Interquartile range Range Using your answer to part. (a), compare the skewness of the distribution of weights of hatchyear ducks to the skewness of the distribution of weights of adult ducks. Using your answer to part. (b), calculate by hand the estimated standard error for the mean weight of hatchyear ducks. Show your working and give your answer to one decimal place. Question 6 14 marks In Question 55 you compared the distributions of weights of hatchyear and adult ducks. In this question you will consider one aspect of the distribution the mean weight. Suppose now that interest focuses on whether the population mean weight of ducks is the same for hatchyear and adult ducks. (a) (b) lNrite down suitable null and alternative hypotheses= stating clearly the meaning of any symbols that you use. In part (d)= you will use a two~sample ttest to test. the hypotheses that you wrote down in part (a), using the data in duck weightsrnwx. Explain why neither the twosample ztest nor the paired ttest would be suitable for these data. For the data in duck vsreightsnnvvx= is the assumption of a common population variance reasonable? Justify your opinion. State any other assumptions that are made about the data. (d) Use the twosample ttest to test the hypotheses that you wrote down in part (a). [Whatever answer you gave in part (c), you should assume that the assumption of a common population variance is indeed reasonable, along with any other necessary assumptions.) In your answer, make sure to include: o the value of the pooled estimate of the common standard deviation 0 the value of the test statistic o the degrees of freedom 0 the pvalue, or the values of CV5 and CV1 c any conclusions that can be drawn from the results of this test. [6] Question 7 3 marks Suppose that the original researchers were interested in taking more detailed measurements of the ducks that were initially captured, but could aord to do this with only 5 of the 50 ducks. Using simple random sampling, select a sample that the researchers could have used. To help you to select this sample, you may use either Minitab or the random number table given in the appendix to Unit 4. In your answer, you should outline the method that you used to obtain the sample, and detail which random numbers you generate [including any that you discard). If you use Minitab, then you should make sure that the seed of the random number generator is initially set to take the value 1058. If you use the random number table, then you should start at row 8. [3] Question 8 3 marks A different researcher would like to test a new treatment for seabirds that get contaminated after an oil spill. The next time there is an oil spill, she proposes taking pairs of birds and using this new treatment on one bird in each pair and applying a standard treatment to the other. The outcome is then whether or not each bird is fit enough to be released back into the wild. (a) Explain why the data from this trial would be regarded as objective data. [1] (b) Explain why the data from this trial relating to each bird would be regarded as categorical data. [1] (c) How should the pairs of birds be selected to ensure that this is a matchedpairs trial? [1] C1 C2 hatch-year adult 1140 1160 2 1160 1260 3 1120 1080 4 1070 1140 5 940 1200 6 1240 1100 1120 1420 8 1010 1120 9 1040 1110 10 1200 1340 11 1280 1250 12 1250 1050 13 1090 1320 14 1040 1260 15 1130 1110 16 1180 1280 17 1070 1270 18 1270 1370 19 1080 1220 20 1150 21 1030 22 1160 23 1180 24 1050 25 1050 26 1160 27 1150 28 1220 29 1 140 30 1140 31 1120hatch-year adult 7 death not observed 19 13 2 death observed 12 6Appendix: random number table This table contains 3000 random digits (i.e. throws of a ten-sided die labelled 0, 1, . .., 9). 1 98 06 77 46 16 63 998081 82 1548 96 1256 51 646021 124160 046393 45 25 52 75 50 35 41 25 66 21 51 66 11 34 33 18 36 41 33 18 70 52 64 76 41 17 07 54 01 29 86 41 93 16 55 54 40 68 58 71 24 92 06 94 84 48 92 96 32 29 00 60 53 93 46 82 67 64 48 91 74 85 94 40 51 30 93 08 78 32 89 76 61 03 01 20 94 36 39 87 52 27 23 54 82 64 44 58 45 94 30 39 86 19 64 84 35 30 19 5 50 76 11 36 1384 3293 72 29 04 41 25 43 89 55 61 46 40 89 21 47 20 85 91 90 56 67 40 31 46 71 58 45 43 72 69 18 67 32 57 29 57 02 58 68 56 92 80 33 89 23 96 24 33 16 80 45 20 35 36 00 82 14 64 47 40 74 53 03 75 40 28 63 53 36 90 57 45 65 20 02 56 40 21 35 17 71 33 07 36 71 90 8 41 01 53 67 41 78 84 29 26 34 42 19 82 31 79 58 40 99 02 66 37 59 24 79 35 21 61 29 96 50 01 9 30 63 22 27 28 69 36 23 99 52 29 03 87 28 54 59 50 31 47 84 44 30 70 33 12 63 54 86 63 08 62 10 73 09 03 54 20 02 55 49 48 46 75 42 62 63 42 60 87 38 68 9150 98 65 95 29 54 20 89 25 59 33 11 66 41 48 46 17 24 82 51 86 86 53 66 95 57 95 61 20 85 20 04 05 21 53 58 65 40 60 53 91 07 32 12 70 10 21 02 71 89 1480 64 32 58 17 35 65 55 62 03 16 83 56 90 30 18 77 83 1891 26 70 50 99 13 59 55 94 4477 90 01 99 79 48 28 61 93 87 17 63 57 1284 228961 19 55 62 96 01 44 2896 21 14 75 81 42 45 69 28 23 90 46 24 32 97 64 41 70 64 11 06 38 37 58 65 66 54 73 80 38 57 44 99 81 15 72 22 05 84 39 89 57 73 84 86 57 76 79 08 65 65 44 68 39 54 96 66 56 83 21 22 34 00 28 65 20 16 47 1497 61 57 30 93 88 12 88 58 15 75 17 45 66 73 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23 49 01 02 17 28 23 72 71 46 39 24 46 39 77 43 74 49 01 59 38 60 29 94 6102 11 61 86 36 28 63 80 25 47 36 69 73 39 21 23 93 10 09 50 45 78 94 94 39 87 49 44 540252 56 28 49 34 49 25 29 31 30 49 19 65 12 33 87 76 6422 62 66 61 88 79 52 10 65 11 34 68 6865 58 90 17 33 98 36 82 30 68 42 66 14 60 63 24 06 92 94 21 52 71 37 19 80 54 42 73 6251 54 80 63 36 65 12 44 52 16 12 31 52 77 76 33 55 75 7803 11 180423 12 72 46 81 73 27 51 94 71 14 37 55 00 05 32 36 59 89 86 32 19 05 93 6241 96 47 15 34 80 17 23 06 44 75 82 77 69 59 62 33 99 26 6795 7277 16 02 2896 33 15 23 16 85 63 28 62 03 72 11 74 17 35 37 09 83 08 19 98 26 68 06 0205 57 21 73 55 35 07 79 34 32 84 18 60 89 57 09 25 31 82 79 92 10 08 71 84 50 83 92 60 44 28 52 83 25 39 83 60 92 71 10 35 59 10 86 85 92 14 14 17 38 59 35 24 12 53 88 85 16 89 30 82 48 70 63 82 71 48 72 82 77 37 56 36 18 56 17 74 42 45 19 35 75 18 37 47 42 78 08 86 21 41 74 65 08 73 8294 72 22 67 92 34 74 33 37 28 87 01 51 67 42 00 77 30 16 31 06 67 42 75 87 99 08 47 77 43 94 1707 76 5793 68 61 15 97 38 83 25 37 0291 92 05 16 09 07 35 84 59 15 44 88 20 02 69 70 87 44 57 23 35 99 94 16 63 40 99 39 12 09 73 08 61 72 89 23 91 85 76 99 29 55 48 89 93 95 15 81 21 75 71 39 23 31 06 43 87 44 21 40 64 7495 68 36 68 69 99 56 33 78 08 8431 87 90 1091 65 40 88 43 5057 83 50 82 34 12 78 80 41 77 46 18 83 52 40 05 76 20 95 40 64 73 67 44 91 91 72 35 36 80 19 49 49 37 17 40 98 02 53 59 42 06 69 75 42 75 68 99 14 90 83 26 03 15 00 71 92 23 82 82 20 56 34 76 49 27 40 78 29 99 07 22 43 75 53 11 01 11 11 78 56 62 03 87 34 18 12 42 93 21 02 08 25 07 15 36 45 19 21 30 48 30 76 99 44 09 30 87 33 32 37 96 79 07 33 75 21 7406 47 94 80 22 31 36 25 82 639194 56 59 42 341865 45 0230 44 66 34 64 38 75 01 40 22 87 76 1901 95 46 92 44 39 46 22 03 99 15 60 45 34 06 77 86 46 14 45 74 30 5297 77 13 20 66 87 54 89 05 30 96 5481 74 9371 51 14 28 22 66 21 53 31 66 09 47 82 45 49 85 02 33 58 84 03 74 63 52 15 47 04 97 80 17 11 33 37 07 00 77 89 31 86 72 35 67 41 48 44 33 94 98 75 51 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