rase001. A city contains 300,000 people (140,000 males and 160,000 females), and 3,000 peopledie per year from all causes of death (1,200 males and 1,800 females). There were 1500cases of heart disease per year (100 males and 50 females), of which 135 died (102males and 33 females). Compute the following.a. Crude mortality rate+35150X100,000 = 81%b. Sex-specific mortality rate for males (all causes)140,000c. Sex-specific mortality rate for females (all causes)d. Cause-specific mortality rate for heart diseasee. Case fatality rate for heart diseasef. Proportionate mortality ratio for heart disease220

“Since you have posted a question with multiple sub-parts, we will solve the first three sub-parts…

Answered: 1. A city contains 300,000 people…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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39. Fifty part-time students were asked how many courses they were taking this term. The (incomplete) results are shown below: # of Courses Frequency Frequency 1 2 $ 30 Relative Frequency Relative Frequency Cumulative Relative Frequency 0.6 Table 1.13 Part-time Student Course Loads 151 Fill in the blanks in Table 1.13. b. What percent of students take exactly two courses? C. What percent of students take one or two courses? 4
2. The drug Ritalin is designed to stimulate the central nervous system. In a random sample of 242 boys aged ten - twelve years old, it was found that 68 of the boys were taking Ritalin. It is known that the proportion of all boys aged 13 - 15 who take Ritalin is 22%. A researcher claims that the population proportions of boys who take Ritalin aged 10 – 12 is different than boys aged 13 - 15. Can you support this claim at the 5% significance level? a. Conduct a hypothesis test to test the claim at the 5% significance level. Be sure to state you Ho and Ha, your test statistic and p-value, whether or not you reject Ho and whether you support the claim. b. Write a complete sentence describing what a Type I error is in context. c. Write a complete sentence describing what a Type II error is in context.
4. Based your answers on this question on vital statistics reported in Table 2. Population size Approximate number of live births Number of deaths (all ages) Approximate number of deaths in infants under 1 year of age 255,078,000 4,065,014 2, 175,631 38,553 Table 2: Vital Statistics of the United States, 1992 (Source: NCHC) I A. Compute the U.S. birth rate per 1000 person-years in 1992 B. Compute the U.S. overall death rate per 1000 person-years in 1992. C. Compute the infant mortality "rate" per 1000 live births in 1992. D. Is the U.S. population stationary? E. Why a quotation mark is placed around "rate" in part C of this problem? (Is the infant mortality "rate" truly a rate? Why or Why not?) 5
1. A club has 120 members, 30 of whom are lawyers and 20 of whom are liars. A total of 80 members are neither lawyers nor liars (that is, not lawyers and not liars). Answer the following: Out of all the club's liars, what proportion are lawyers? Explain your calculations.
5. The Journal of Professional Issues in Engineering Education and Practice (Apr. 2005) reported on the results of a 2005 survey of courses offered at undergraduate engineering programs. Of the 90 engineering programs that participated in the 2005 survey, 78 covered fluid mechanics. In a survey taken 20 years earlier (Engineering Education, Apr. 1986), 76 of the 100 undergraduate engineering programs covered fluid mechanics. Conduct a test to determine whether the fraction of undergraduate engineering programs covering fluid mechanics increased from 1986 to 2005. Use significance level alpha= .01
3. calculate these mortality rates: A) Crude mortality rate due to cancer B) Age specific mortality for adults age 55 and older C) The proportional mortality ratio (PMR) for cancer deaths
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…
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?
36.
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): y before medication: 187 120 151 143 160 168 181 197 133 128 130 195 130 147 193 157.53 27.409 after medication: 187 118 147 145 158 166 177 196 134 124 133 196 130 146 189 156.40 27.060 change: 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 u = 0, and a = .05. Are the results consistent with (a)? Why or why not? e) Finally, conduct a one sample t-test using u = 0, and a = .01. Are the results consistent with (b)? Why or why not? (Make sure you answer the part in bold for (d) and (e). See also problem 5)
1. Total blood volume (in ml) per body weight (in kg) is important in medical research. For healthy adults, the red blood cell volume mean is about µ =28 ml/kg (Reference: Laboratory and Diagnostic Tests by F. Fischbach). Red blood cell volume that is too low or too high can indicate a medical problem (see reference). Suppose that Roger has had seven blood tests, and the red blood cell volumes were 32 25 41 35 30 37 29 Do the data indicate that Roger's red blood cell volume is different (either way) from µ = 28 ml/kg? Use a 0.01 level of significance.
Compute the crude and standardized death rates in two cities from the following data and find out which population is healthier : Age City A City B Population Deaths Population Deaths Under 5 16,000 176 5,000 130 5-40 50,000 250 27,000 162 40-75 1,20,000 840 62,000 527 Above 75 14,000 910 6,000 420

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