The following table gives the number of organ transplants performed in the United States each yearfrom 1990 to 1999 (The Organ Procurement and Transplantation Network, 2003):Year1 (1990)Number ofTransplants(in thousands)2345678910 (1999)15.015.716.117.618.319.420.020.321.421.8a. Construct a scatterplot of these data, and then find the equation of the least-squaresregression line that describes the relationship between y = number of transplantsperformed and x = year. Describe how the number of transplants performed has changedover time from 1990 to 1999.b. Compute the 10 residuals, and construct a residual plot. Are there any features of theresidual plot that indicate that the relationship between year and number of transplantsperformed would be better described by a curve rather than a line? Explain.

Answered: The following table gives the number of…

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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A) Classify the following data as either qualitative data or quantitative data. In addition, classify the quantitative data as discrete or continuous. The number of times that a movement authority is sent to a train from a relay station is recorded for several trains Over a three-week period. The movement authority, which is an electronic transmission, is sent repeatedly until a return signal is received from the train. 1. 2. A physician records the follow-up condition of patients with optic neuritis as improved, unchanged, or worse. The individuals in a sociological study are classified into one of five income classes as follows: low, low to middle Middle, middle to upper, or upper. 3.
Give the statistical meaning of the relationship between the spending hours on using mobile andreading books per day.
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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
31 Data: Red Blue Brown Green Yellow0.744 0.844 0.918 0.942 0.8680.813 0.726 0.743 0.798 0.7240.997 0.717 0.818 0.727 0.7540.927 0.882 0.994 0.842 0.9510.825 0.969 0.997 0.828 0.771 0.993 0.918 0.854 0.999 0.786 0.963 0.972 0.872 0.904 0.752
In a population-based cohort study, an entire community was interviewed regarding smoking habits and then followed for one year. Upon ascertainment of all lung cancer deaths, the investigator obtained the following data: Number of Individuals Lung Cancer Deaths Smokers 24,500 15 Nonsmokers 10,500 2 Calculate the risk difference per 100,000 per year. Round to the tenth decima
Sample no 1 2 3 4 1 45 45 49 52 49 3,000 2 48 53 47 48 55 3,564 3 46 49 41 45 60 7,190 4 44 45 53 41 49 4,669 5 42 44 49 57 57 7,050 45 49 56 56 57 5,320 7 45 46 47 48 43 1,924 8 47 56 41 39 9 56 45 57 47 10 45 47 52 51 Consider the above past data from a production line (m=10). Fill in the blank cells (in grey color) by assigning any two digit numbers between 45sxs 65. a) Draw X and S charts. b) Is the process under control? Is there any assignable cause? c) Estimate the population mean and population variance. d) The specification limits are 4873 for the considered dimension. What is the nonconforming percentage of the production?
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A study is performed to assess the prevalence of use of anti-hypertensive medication (MEDS) in the non-institutionalized U.S. population. The following data are reported for MEDS status of the U.S. population by age-sex group: Table 1 Estimated MEDS Status of the U.S. Population by age and sex group, NHANES study 1999-2018 Males Females Age Group MEDS = yes Na Age Group MEDS = yes Na 18-29 160,617 23,069,867 18-29 168,940 22,132,949 30-39 899,152 18,690,754 30-39 759,532 18,937,878 40-49 2,264,304 18,316,125 40-49 2,257,203 18,816,304 50-59 3,215,688 15,022,905 50-59 4,059,363 15,997,653 60-69 2,936,183 8,400,156 60-69 4,260,975 10,993,805 70-79 1,677,664 4,012,930 70-79 2,953,646 6,012,728 aN = total sample size in specific age-sex groups. a. What is the prevalence of use of MEDS in 40-49 year-old females? b. Suppose a married couple consists…
The following is data about the hemoglobin concentrations of volunteers collected at sea level and at an altitude of 11000 feet. sea level concentrations = [14.70 , 15.22, 15.28, 16.58, 15.10 , 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92]11000 feet concentrations = [14.81, 15.68, 15.57, 16.59, 15.21, 15.69, 16.16, 14.68, 15.09, 15.30 , 16.15, 14.76] There are two alternative scenarios about the way the data were obtained. In scenario 1, there are 12 volunteers who lived for a month at sea level, at which time blood was drawn and the data in "sea level concentrations" dataset were obtained. Subsequently, all 12 volunteers were moved to 11000 ft and after a month the data in the "11000 feet concentrations" dataset obtained. There is a one to one correspondence between the numbers in the two datasets, that is the first numbers correspond to volunteer1, the second numbers to volunteer2 etc. In scenario 2, the "sea level concentrations" dataset is a random sample obtained from 12…
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