The six graphs in the figure below show frequently observed patterns of age-specific cancer incidence rates, in number of cases per1000people, as a function of age. The scales on the vertical axes are equal.(11)incidenceKC20 40 60 80Incidence(111)incidence20 40 60 80MIncidenceage20 40 60 80age20 40 60 80(IV)Incidencer20 40 60 80(VI)Incidence20 40 60 80ageageage (a) For each of the six graphs, write a sentence explaining the effect of age on the cancer rate.(1) The incidence of cancer(II) In this case a peak is reached at about age(III) This type of cancer has a(n)gradual(IV) In this case the incidence(V) This type of cancer is relativelyage of 20.(VI) The incidence ratewith age, but the rate of change, after which the incidenceincidence until the age of about 48, then a slight✓anduntil the age of 30, after which it✓in young children, and its incidence✓age related.slightly.✓, followed by agradually from about the

The effect on the cancer rate for the given graph represented as:(I) The incidence of cancer…

Answered: The six graphs in the figure below show…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Sheila's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 miligrams per deciliter (mg/dl) one hour after having a sugary drink. Sheila's measured glucose level one hour after the sugary drink varies according to the Normal distribution with μμ = 120 mg/dl and σσ = 10 mg/dl. (a) If a single glucose measurement is made, what is the probability that Sheila is diagnosed as having gestational diabetes?(b) If measurements are made on 5 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Sheila is diagnosed as having gestational diabetes?
We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of fifteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the fifteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance from the beach, x (in miles) Selling price, y (in thousands of dollars) xy 5.0 270.1 1350.5 11.5 205.9 2367.85 5.9 309.4 1825.46 12.2 200.6 2447.32 2.6 307.1 798.46 5.9 266.0 1569.4 8.3 297.3 2467.59 18.3 224.2 4102.86 6.5 242.4 1575.6 12.1 192.6 2330.46 11.6 229.4 2661.04 9.5 230.9 2193.55 10.1 277.0 2797.7 13.5 270.8 3655.8 6.2…
We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach ( x , in miles) and the selling price ( y , in thousands of dollars) for each of a sample of sixteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Distance from the beach, x(in miles) Selling price, y(in thousands of dollars) 13.3 224.2 10.0 288.0 13.7 272.4 10.0 229.5 4.6 274.1 12.7 190.6 8.2 289.4 9.1 215.4 11.5 272.8 7.0 244.4 4.9 309.5 12.4 198.9 7.0 305.4 11.8 202.5 5.7 277.1 18.0 228.5 y 150 200 250 300 350 x 5 10 15 20 0 Figure 1 The value of the sample correlation coefficient r for these data is approximately −0.577 . Answer the…
Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
Between 1980 and 2012, the number of adults in a certain country who were overweight more than tripled from 18% to 56%. Use this information to answer parts a and b. (a) Construct a graphic that is not misleading to depict this situation. Choose the correct graph below. OA. 1980 2012 1980 2012 1980 2012 1980 2012 (b) Construct a misleading graphic that makes it appear that the percent of overweight adults has more than quadrupled between 1980 and 2012. Choose the correct graph below. O A. Oc. OD. 50 40 304 20 10 1980 2012 1980 2012 1980 2012 1980 2012 ti n deuun Percentage ateun adesund
For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of the American League teams for the year 2000. The variable x denotes the 2000 player payroll (in millions of dollars), and the variable y denotes the mean attendance (in thousands of fans) for the 81 home games that year. The data are plotted in the Figure 1 scatter plot. Also given is the product of the player payroll and the mean attendance for each of the fourteen teams. (These products, written in the column labelled "xy", may aid in calculations.) Anaheim Baltimore Boston Chicago White Sox Cleveland Detroit Kansas City Minnesota Mean Player payroll, x attendance, y (in $1,000,000s) thousands) New York Yankees Oakland Seattle Tampa Bay Texas Toronto Send data to calculator 59.2 80.5 97.0 42.3 90.5 68.6 31.8 23.5 114.3 43.0 69.9 65.2 72.7 66.8 25.56 40.74 31.98 24.07 42.72 31.23 20.74 13.09 39.88 21.36 38.89 18.27 34.57 22.47 xy x 1513.152 3279.57 3102.06…
The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year's usage and temperatures are in the following table: Usage/ Month Temp. 1000 Month 21 185.79 July. 24 214.47 Aug. 32 288.03 Sept. 47 424.84 Oct. 50 454.58 Nov. 59 539.03 Dec. Jan. Feb. Mar. Apr. May June Temp. 68 74 62 50 41 30 Identify which are the independent and dependent variables. Usage/ 1000 621.55 675.06 562.03 452.93 369.95 273.98
at 2 presented based on the Health Information National Trends Survey (HINTS) LALYSIS
The cost of fuel is the largest component of cost of ownership for most vehicles. Fuel cost is (almost) inversely proportional to gas mileage; higher gas mileage means lower fuel cost and vice-versa. If you keep track of the number of miles driven on each tank of gas as well as how much gas is purchased, it is easy to calculate gas mileage; many cell phone apps exist to track this. The data in the following table is the gas mileage for Mr. Hebert's 2015 Jeep Wrangler Unlimited. 12.85 14.98 15.36 17.09 18.86 13.28 15.11 15.62 17.50 19.07 13.48 15.12 15.65 17.66 20.91 14.65 15.13 16.41 18.17 21.17 14.71 15.14 16.80 18.27 22.11 a. Find the average fuel economy. x =enter your response here (Round your answer to 3 decimal places.)
The graph show ["", "", "", "", ""] correlation. When the world population increases, we would expect the Atmospheric Carbon Dioxide levels to ["", "", ""] . When the carbon dioxide levels were at 390 parts per million (ppm), the world population was about ["", "", ""] millions.
I need expert advice please especially with the graph. The table below shows monthly data collected on production costs and on the number of units produced over a twelve month period. Month Total Production Costs Level of Activity(Units Produced) July $230,000 3,500August 250,000 3,750September 260,000 3,800October 220,000 3,400November 340,000 5,800December 330,000 5,500January 200,000 2,900February 210,000 3,300March 240,000…
We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of sixteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Distance from the beach, x (in miles) 5.1 6.2 9.5 10.3 10.7 5.3 12.6 13.0 19.4 8.2 5.2 3.8 9.0 11.7 11.5 8.3 Send data to calculator V Selling price, y (in thousands of dollars) 263.5 274.6 238.6 223.7 267.1 306.2 202.5 267.7 217.3 224.7 241.0 312.0 284.6 210.9 185.6 294.2 Send data to Excel thousands of dollars) Selling price 350+ 300+ Figure 1 250 200 150. 0 Distance from the beach (in miles) Español F00 ? D 1 As M

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