tionquestionFigure 2 shows the relationship in Africa between annual all-cause mortality rates in children ages 0-4 and P.falciparum malaria transmission intensity. Regions are classified into one of four categories based onchildhood malaria prevalence:1 childhood infection prevalence ranges from 0-24%2-childhood infection prevalence ranges from 25-50%3-childhood infection prevalence ranges from 51-74%4-childhood infection prevalence ranges from 75-100%Annual mortality rate/100080604020101234Intensity of P. falciparum transmission

1. Relationship between malaria prevalence and mortality:The graph demonstrates a clear association…

Answered: tion question Figure 2 shows the…

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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The following table cross classifies pregnant women in the study by their body mass index at 16 weeks gestation and whether they had preterm delivery What proportion of women with bmi greater than 35 delivers preterm? bmi <30 bmi 30-34.9 bmi 35+ preterm 320 80 120 full term 4700 480 300
3
Refer to the following morbidity and mortality statistics for Community X for 2008. Total One-Year Population: 250,000 Population of Women 15-44: 75,000 Number of live births: 6,000 Total Deaths: 2,260 Number of infant deaths: 120 Deaths from heart disease: 222 Deaths from Cancer: 115 Deaths from Stroke: 90 Number of persons diagnosed with cancer 10,500 Calculate the following: Infant Mortality Rate _____________________________________ Prevalence of cancer for 2008 _____________________________ Crude Death Rate ______________________________________ Cause-specific mortality rate for stroke…
b) What is the probability that is less than 2.7 grams? 0.3085 0.6915 0.9982 0.0018
Department of Research and Development of Unilever Sdn Bhd has conducted a study to improve the quality of production line by measured the weight (in ounces) of 50 bars of soap. The results are as shown in Table 2(b). Table 2(b) Weight of soap 11 12 12 12 13 13 13 13 13 14 14 14 14 14 15 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 18 18 18 18 18 18 18 19 20 (1) Calculate the mean, standard deviation and variance. (ii) By using 6 of class interval, construct a histogram for this data.
From September 1980 to August 1982, 50 premature infants were admitted to the Neonatal ICU of Lungsod ng Kabataan Children’s Hospital due to severe hyaline membrane disease. Data on the weights of these infants are shown below. Table X. Weights of Premature Infants with Severe Hyaline Membrane Disease Treated with Assisted Ventilation Weights in Grams Number of Patients 800-1000 1001-1200 1201-1400 1401-1600 1601-1800 1801-2000 2001-2200 2201-2400 3 4 6 5 5 8 9 10 Total 50 Find the following: Final Answer Interpretation Computation Mean Median Mode Range SD D6 P40 Q3
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
Fish of Lake Laengelmaevesi. An article by J. Puranen of the Department of Statistics, University of Helsinki, discussed a classic study on several variables of seven different species of fish caught in Lake Laengelmaevesi, Finland. On theWeissStats site, we present the data on weight (in grams) and length (in centimeters) from the nose to the beginning of the tail for four of the seven species. Perform the required parts for both the weight and length data. a. Obtain individual normal probability plots and the standard deviations of the samples. b. Perform a residual analysis. c. Use your results from parts (a) and (b) to decide whether conducting a one-way ANOVA test on the data is reasonable. If so, also do parts (d) and (e). d. Use a one-way ANOVA test to decide, at the 5% significance level, whether the data provide sufficient evidence to conclude that a difference exists among the means of the populations from which the samples were taken. e. Interpret your results from part (d)
3. Eight different aged patients are tested on their sugar levels in a laboratory to know whether there is any relationship between the age and blood sugar level. Using appropriate method, analyze the following data and give your comments on the same. Patients 10 15 20 25 30 35 40 45 Blood- 70 85 110 180 125 100 180 120 Sugar level
Suppose we are interested in studying the relationship between the shelf life of cheeses in a dairy factory and the thickness of the packaging material used for those cheeses. We would like to determine if there is a causal relationship between the thickness of the packaging material and the shelf life of the cheese; that is, does a change in the thickness of the packaging material cause a change in the shelf life of the cheese? Select the study that would be best source of evidence for establishing the existence of a causal relationship. Select one: O a. A study which uses a stratified random sample, stratifying by type of cheese, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O b. A study which uses a cluster sample, clustering by room the cheese is stored in, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O c. A…
Give the statistical meaning of the relationship between the spending hours on using mobile andreading books per day
Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…

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