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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1 b) For any data set, approximately 95% of the observations fall in the interval (T − 2s, T+2s). True False
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…
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.
• 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…
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?

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