Age Young Old All ages Population 12,000 13,000 25,000 Columbus, GA No. of deaths from Diabetes 200 312 512 Population 10,000 4,000 14,000 Stone Mountain, GA No. of deaths from Diabetes 75 100 175 Calculate the age-specific rates for Diabetes for both Columbus and Stone Mountain per 1000 population.
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- .A new, miracle diabetes drug that diminishes major symptoms of diabetes has been approved by the FDA. Health care professionals and researchers believe that the new drug will prolong lifespan of diabetes patients. If the population is in steady state and the incidence is constant, what will the effect of this new drug be on the prevalence of diabetes in the population? Explain.Age 1950 Population 1950 Mortality Rate per 100,000 1990 Population 1990 Mortality Rate per 100,000 2000 Population 2000 Mortality Rate per 100,000 < 20 15,541,000 11.6 18,926,000 10.5 22,335,000 10.1 20 – 29 18,789,000 23.5 22,335,000 17.8 25,465,000 16.9 30 – 39 11,435,000 43.2 13,123,000 38.7 17,438,000 40.2 40 – 49 8,586,000 115.6 10,809,000 98.8 13,789,000 94.5 50 – 59 6,234,000 310.8 9,120,000 385.8 11,983,000 401.0 60+ 3,749,000 435.0 6,890,000 567.9 9,387,000 785.7 Calculate the direct adjusted mortality rate for both 1950 and 1990 using the 2000 information as the standard. (Hint: Make a table to show the expected number of deaths for each year). Also include the ratio of 1990 mortality rate to 1950 mortality rate.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
- Country China China China China China China China Scale us/billion us/billion us/billion us/billion us/billion tonnes % Items GDP GFCF EX IM FDI CO2C TO 1985 309488028132.65 94181047057.82 25801403273.95 38302403273.95 1659000000.00 1.87 20.71 1986 300758100107.25 93113390307.25 26202580690.47 33592580690.47 1875000000.00 1.94 19.88 1987 272972974764.57 83416274479.82 34072853910.00 33781853910.00 2314000000.00 2.04 24.86 1988 312353631207.82 96994617160.49 44923701330.00 48984701330.00 3194000000.00 2.15 30.06 1989 347768051311.74 89049722510.12 41190793490.00 46118793490.00 3393000000.00 2.15 25.11 1990 360857912565.97 86565315650.10 49129758920.00 38461758920.00 3487000000.00 1.91 24.27 1991 383373318083.62 98541506533.10 55542659163.76 43941659163.76 4366000000.00 2.00 25.95 1992 426915712715.86 129557475949.77 66847400125.59 61849400125.59 11156000000.00 2.08 30.15 1993 444731282435.52 164960763454.80 74280328749.70 86072328749.70 27515000000.00 2.24 36.06…12Age (Yrs) Population A Population B # people % of Pop # deaths # people % of Pop # deaths <15 4,000 27 50 1,000 10 25 15-44 8,000 53 350 3,000 30 130 >45 3,000 20 100 6,000 60 345 Total 15,000 100 500 10,000 100 500 Compute the unadjusted overall mortality rates per 1,000 persons for Populations A & B in Table (Hint: Decimal to at least the tenth.) What is the Crude Mortality Rate for Pop A: What is the Crude Mortality Rate for Pop B:
- Pesticide danger: One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which a pesticide is absorbed into skin after contact. An important question is whether the amount in the skin continues to increase with the length of the contact, or whether it increases for only a short time before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The amounts of the chemical (in micrograms) that were in the skin are given in the following table. Duration Amounts Absorbed 1 1.5 2.7 1.6 1.6 2 1.7 1.7 2.4 2.3 4 1.4 2.1 1.6 1.2 10 2.4 1.2 2.1 2.6 24 2.2 1.8 1.7 1.3 Send data to Excel Part: 0 / 2 Part 1 of 2 (a) Construct an ANOVA table. Round your answers to four decimal places. One-way ANOVA: Pesticide Amount Source DF SS MS F Duration Error TotalQuiz vs Lecture Pulse Rates Do you think your pulse rate is higher when you are taking a quiz than when you are sitting in a lecture? The data in Table 1 show pulse rates collected from 10 students in a class lecture and then from the same students during a quiz. The data are stored in QuizPulse10. Std. Student 1 2 4 6 7 8. 9. 10 Мean Dev. Quiz 75 52 52 80 56 90 76 71 70 66 68.8 12.5 Lecture 73 53 47 88 55 70 61 75 61 78 66.1 12.8 Table 1 Quiz and lecture pulse rates for 10 students Construct a 95% confidence interval for the difference in mean pulse rate between students taking a quiz and sitting in a class lecture. Click here for the dataset associated with this question. Round your answers to one decimal place. The 95% confidence interval is i to iQUESTION 11 True or False? "Time of Measurement" as a research variable literally refers to the time of day that data was collected. True False
- QUESTION 7 True or False? The incidence rate of a disease is defined as the number of new cases of the disease over a time period divided by the total population (at risk) during the same time period times a multiplier (e.g. 100,000).17. Module 1Spring 2022 StatCX W Chapter 102 Homework - Spring X A webassign.net/web/Student/Assignment-Responses/last?dep=28720443 The increasing annual cost (including tuition, room, board, books, and fees) to attend college has been widely discussed (Time.com). The following random samples show the annual cost of attending private and public colleges. Data are in thousands of dollars. Private Colleges Public Colleges 52.8 43.2 45.0 33.3 44.0 20.3 22.0 28.2 15.6 24.1 28.5 31.6 46.8 38.8 50.5 43.0 22.8 25.8 18.5 25.6 14.4 21.8 (a) Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for private colleges. (Round the standard deviation to two decimal places.) sample mean %24 thousand sample standard deviation thousand Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for public colleges. (Round the standard deviation to two decimal places.) sample mean thousand sample standard deviation $…