For a mortality study of insurance applicants in two countries, you are given:(i)Country A0,Country Bd,t,Y,1202000.05151000.102541800.1020850.103141260.15200.104221120.2010450.10(ii)Y, is the number at risk over the period (t-1,4,). Deaths during the period (t-1,4,) areassumed to occur at t,.0, is the reference hazard rate over the period (t1,t,). Within a country, 0, is thesame for all study participants.(iii)(iv)s'(t) is the Product-Limit estimate of S(t) based on the data for all studyparticipants.s*(t) is the Product-Limit estimate of S(t) based on the data for study participants inCountry B.(v)Determine s"(4)– s®(4) .(A)0.06(В)0.07(C)0.08(D)0.09(E)0.10

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Answered: For a mortality study of insurance…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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5. Calculate the net reproduction rate from the following data : Age group of No. of female child-bearing females No. of survivors out of each 1,000 female children Age group of No. of female child-bearing children born females No. of survivors out of each 1,000 female children children born to 1,000 to 1,000 women women oub passing through each age group passing through each age group da15-20 50 850 35-40 300 650 20-25 180 800 40-45 100 600 25-30 450 750 45-50 40 500 30-35 500 700
1 b) For any data set, approximately 95% of the observations fall in the interval (T − 2s, T+2s). True False
Department of Research and Development of Unilever Sdn Bhd has conducted a study to improve the quality of production line by measured the weight (in ounces) of 50 bars of soap. The results are as shown in Table 2(b). Table 2(b) Weight of soap 11 12 12 12 13 13 13 13 13 14 14 14 14 14 15 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 18 18 18 18 18 18 18 19 20 (1) Calculate the mean, standard deviation and variance. (ii) By using 6 of class interval, construct a histogram for this data.
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Table 9-3 Serum Levels of Total Cholesterol Reported in 71 Participants* Cholesterol Value (mg/dL) No. Observations Cholesterol Value (mg/dL) No. Observations Cholesterol Value (mg/dL) No. Observations 124 1 128 1 132 1 133 136 1 138 139 146 147 149 151 1 153 2 158 3 160 1 161 1 191 162 1 192 163 2 194 គឺ ៖ ៖ ៖ ធី “ È ឥ ន ន E គឺ ៖ ៖ គគឺ 164 3 196 165 1 197 2 2 166 206 1 169 208 171 4 209 175 1 213 177 2 217 178 2 220 179 1 221 180 4 222 181 1 226 184 2 227 186 1 228 1 241 3 264 2 - 2
Select one: a. time-series b. cross sectional c. panel Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management (Bangalore) 380 5 3,935 16,000 No No 7,500 8 National University of Singapore 147 6 6,146 7,170 Yes Yes 43,300 9 Indian Institute of Management (Calcutta) 463 8 2,880 16,000 No No 7,400 10 Australian National University (Canberra) 42 2 20,300 20,300 Yes Yes 46,600 11 Nanyang Technological…
Table 1 gives data on GDP (Y - in billions), foreign direct investment (X₂ - in billions), and corruption index (X3) 31. Y 45 50 54 58 63 69 74 78 X₂ 75 78 83 86 90 93 98 100 X3 15 12 9 6 3 -2 -5 -8 What is the value of Σx and Σx3, given that x₁ = X; - X? A. 579 and 475 B. 959 and 737 C. 675.2500 and -518.2500 D. - 567.1456and 255.3750
5. In the table below, compute age-specific mortality rates per 1,000 for Populations A & B in Table 1. (Hint: Decimal to at least the tenth.) 45 years Age-Specific Mortality Rate, per 1,000 Population A Age-Specific Mortality Rate, per 1,000 Population B
1) You test a new drug to reduce blood pressure. A group of 15 patients with high blood pressure report the following systolic pressures (measured in mm Hg): before medication: after medication: change: ̄y s187 120 151 143 160 168 181 197 133 128 130 195 130 147 193 157.53 27.409 187 118 147 145 158 166 177 196 134 124 133 196 130 146 189 156.40 27.060 0 2 4 -2 2 2 4 1 -1 4 -3 -1 0 1 4 1.133 2.295 a) Calculate a 95% CI for the change in blood pressure. b) Calculate a 99% CI for the change in blood pressure. c) Does either interval (the one you calculated in (a) or (b)) include 0? Why is this important? d) Now conduct a one sample t-test using μ = 0, and α = .05. Are the results consistent with (a)? Why or why not? e) Finally, conduct a one sample t-test using μ = 0, and α = .01. Are the results consistent with (b)? Why or why not?
Please let me know if I calculated relative risk correctly. Thank you for your assistance.
1. A dietetics student wanted to look at the relationship between calcium intake and knowledge about calcium in sports science students. Table 1 shows the data she collected. Knowledge Respond ent Calcium intake Respond ent Knowledge Calcium intake score score (Out of 50) number (mg/day) number (Out of 50) (mg/day) 1 10 450 11 38 940 2 42 1050 12 25 733 3 38 900 13 48 985 4 15 525 14 28 763 5 22 710 15 22 583 6 32 854 16 45 850 7 40 800 17 18 798 8 14 493 18 24 754 9 26 730 19 30 805 10 32 894 20 43 1085 Is there a relationship between calcium intake and knowledge about calcium in sports science students?
• Part 1 Rework problem 3 in section 1 of Chapter 7 of your textbook, about the Natural Fertilizer Company, using the following data. Assume that the company produces 100 pound sacks of 30-25-20 fertilizer for lawns and 100 pound sacks of 15-15-12 fertilizer for gardens, where the numbers are the percentage by weight of nitrate, phosphate, and potash, respectively, in each sack. Assume also that the company has on hand 12 tons of nitrate, 9 tons of phosphate, and 6 tons of potash, Assume also that the profit on each sack of lawn fertilizer is $10.00 and the profit on each sack of garden fertilizer is $6.00. How many sacks of each type of fertilizer should the company make in order maximize its profit? When you formulate a linear programming problem to solve this problem, how many variables, how many constraints (both implicit and explicit), and how many objective functions should you have? Number of variables: 2 Number of constraints: 5 Number of objective functions: 1 » Part 2 • Part…

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