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

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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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2. The number of homes that a a. On average, how many houses is the realtor expected realtor sells over a one-month period has the following probability distribution. to sell over a one-month period? Number of Household Probability b. What is the standard deviation of this probability 0.30 distribution? 1 0.50 2 0.15 3 0.05
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…
9. The following are quantitative variables EXCEPT A. number of cars owned C. weight of infants B. monthly bill D. license number
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?
1. According to an article in Newsweek, the natural ratio of girls to boys is 100:105. In China, the birth ratio is 100:114 (46.7% girls). Suppose you don't believe the reported figures of the of girls born in China. You conduct a study. In this study, you count the number of girls and boys born in 150 randomly chosen recent births. There are 64 girls and 86 boys born of the 150. Based percent on your study, do you believe that the percent of girls born in China is 46.7? Conduct a hypothesis test at the 5% level. In words, state what your random variable P' represents. State the distribution to use for the test. (Round your answers to four decimal places.) P'~N (0.467, Construct a 95% confidence interval for the true proportion. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your answers to four decimal places.) a. b. с. I
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)
3) If no one had smoked, how many deaths from lung cancer would have been averted?
Find the indicated z score. The graph depicts the standard normal distribution with mean 0 and standard deviation 1. 0.7704 The indicated z score is (Round to two decimal places as needed.)
5. A blood sugar reading above 300 mg/dL can be dangerous, according to the University of Michigan, which recommends immediately informing your doctor if you have two or more readings of 300 mg/dL in a row. In severe cases, very high blood sugar levels (well above 300 mg/dL) can result in coma. On the other side of the scale, a blood sugar reading below 70 mg/dL can be dangerous. If you experience more than two blood sugar readings below 70 mg/dL in a week, notify your doctor. Suppose that blood sugar levels are normally distributed with a mean of 100 mg/dl (milligrams per deciliter) and a standard deviation of 10mg/dL. David has a blood sugar level of 85 mg/dl. Calculate and David's z-score. What percentile is David in for his blood sugar level? What blood sugar readings would be more or less than 2.5 standard deviations from the mean? lio * f4 $ Download 101 4 % Search 5 Print ^ ◄0 6 . & 7 hp * + 8 f10 ► 11 о fu
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15. Estimate the standardized death rates from the following data : Death Rate per 1000 0008 Age group (in years) Standardized Population (in lakh) Country I Country II Below 5 20.00 5.0 100 5-14 1.00 0.5 200 15-24 1.40 1.0 190 00 eec 25-34 2.00 1.0 180 ere 35-44 3.30 T28-00002 2.0 120 100 bluow oidst ofil eeneld srtt qu pnillit oa 0 45-54 7.00 5.0 55-64 15.00 12.0 70 65-74 40.00 35.0 308V 75 and above 120.00 200-0 ABe 0110.0 00 000,08 10 57 2 4000

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