The article "Estimating Population Abundance in Plant Species with Dormant Life-Stages:Fire and the Endangered Plant Grevillea caleye R Br." (T. Auld and J. Scott, EcologicalManagement and Restoration, 2004:125-129) presents estimates of population sizes of acertain rare shrub in areas burnt by fire. The following table presents population counts andareas (in m?) for several patches containing the plant.Агеа3739Population301552771847400173453921424070002521213119581200287870711313921571200010880711742259223811533181254132022935110009284117201500300228312281710Compute the least-squares line for predicting population (y) from area (x).Б.a.Plot the residuals versus the fitted values. Does the model seem appropriate?Compute the least-squares line for predicting In y from In x.Plot the residuals versus the fitted values. Does the model seem appropriate?Using the more appropriate model, construct a 95% prediction interval for thepopulation in a patch whose area is 3000m.C.d.e.

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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 college student is interested in whether presoaking time has an effect on cleanliness of clothing. He collects the dirty clothes from all of the people in his dorm and randomly assigns clothing to one of four presoak time conditions: 5 minutes, 10 minutes, 15 minutes, 20 minutes. He then asks members of another dorm to rate the cleanliness of the items (they don’t know which clothing got which soaking time). The data are presented below. A) Perform an ANOVA by hand (SHOW ALL OF YOUR WORK by taking a photo of your handwork and either inserting it into the word document or uploading it as a separate file.) B) ANSWER QUESTION: Did the college student reject the null hypothesis? (yes or no)
The World Bank collects information on the fertility rate (children per woman) in the country and the life expectancy of a person (in years) in each country ('Life expectancy at,' 2013 and 'Fertility rate,' 2013). The data for 23 randomly selected countries for the year 2011 are in the table below. a) Since data were collected for variable(s), the correct graph to make is a .b) Make a scatterplot of X versus Y using technology. Use this graph to answer the part below. c) Which of the following is true about the relation between fertility rate and average life expectancy based on the graph above?
Assume a univariate quantitative data set, which contains fifty observations, has been organized by a grouped FDT with five classes. Let (cf)1 = 9, (rf)2 = 0.04, and fa = 1. If, after adding twenty more observations (of same nature in the data set) to the data set, relative frequency of the fourth class is increased by 10%, then approximately what percentage of those added observations are in the fourth class? %3D a. 16% b. 37% C. None d. 46% e. 13%
The Bureau of Labor Statistics reports on a variety of employment statistics. "College Enrollment and Work Activity of 2004 High School Graduates" provides information on high school graduates by gender, by race, and by labor force participation as of October 2004.³ (All numbers are in thousands.) The following two tables provide information on the “Labor force status of persons 16 to 24 years old by educational attainment and gender, October 2004." Using the information contained in the tables, do Exercises 4.58 through 4.62. OS LabForce Women, Age 16 to 24 < High School HS degree Some college Civilian Labor Force Employed Unemployed 662 2,050 1,352 Bachelors degree or more 921 Column Total 4,985 For Males: P{CLF | HSD} P{CLF | BD} 205 334 126 Click here for the Excel Data File 55 720 For Females: P{EMPI (CLF and HSD)} P{EMP | (CLF and BDM)} P{CLF | HSD} P{CLF | BD} Not in Labor Force 759 881 321 105 2,066 P{EMPI (CLF and HSD)} P{EMPI (CLF and BDM)} Row Total 1,626 3,265 1,799…
1. The incidence of cancer among phosphate mine workers and their exposure to radiation was investigated. Cancer incidence was recorded among 60 phosphate mine workers who had 0-29 working level months (WLM) of exposure, 60 phosphate mine workers who had 30-89 WLM of exposure, and 60 phosphate mine workers who had 90-120 WLM of exposure. The number of cancer incidences for each group are presented in Table 1. Table 1: Two-way Table of Counts Cancer Incidence Exposure Level Yes No Total 0-29 WLM 20 40 60 30-89 WLM 33 27 60 90-120 WLM 43 17 60 Total 96 84 180 Perform a x? test, at the 5% level of significance, whether cancer incidence rates differ between the three levels of radiation among phosphate mine workers.
三 PS主, QUESTION 22 A list of 5 pulse rates is: 71, 66, 82, 76, 92. What is the median for this list? O 71 O 73.5 O 77.4 76 QUESTION 23 Which assuumptions are necessary for performing regresslon analyses? The population of y at each value of x follow a normal distribution
The following table shows the typical depth (rounded to the nearest foot) for nonfailed wells in geological formations in Baltimore County (The Journal of Data Science, 2009, Vol. 7, pp. 111-127). Geological Formation Group Number of Nonfailed Wells Nonfailed Well Depth Gneiss 1,515 255 Granite 26 218 Loch Raven Schist 3,290 317 Mafic 349 231 Marble 280 267 Prettyboy Schist 1,343 255 Other schists 887 267 Serpentine 36 217 Total 7,726 2,027 Let the random variable X denote the depth (rounded to the nearest foot) for nonfailed wells. Detemine the cumulative distribution function for X. Round your answers to four decimal places (e.g. 98.7654). x < 217 217
An article included the accompanying data on 17 fish caught in 2 consecutive years. Year FishNumber Weight(g) Length(mm) Age(years) Year 1 1 777 410 9 2 581 368 11 3 540 357 15 4 647 373 12 5 537 361 9 6 892 385 9 7 674 380 10 8 782 400 12 Year 2 9 570 407 12 10 628 410 13 11 728 421 12 12 866 446 19 13 1,043 478 19 14 803 441 18 15 833 454 12 16 765 440 12 17 728 427 12 (a) Fit a multiple regression model to describe the relationship between weight and the predictors length and age. (Use x1 for length and x2 for age. Round your numerical values to two decimal places.) = (b) Carry out the model utility test to determine whether at least one of the predictors length and age are useful for predicting weight. Use a significance level of 0.05. Calculate the test statistic and find the P- value. (Round your answer to two decimal places.) F = P-value =
9. Auto Exhaust and Lead Exposure Researchers interested in lead exposure due to car exhaust sampled the blood of 19 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 11.2µg/dl and a SD of 4.5µg/dl; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level concentration of 7.2μg/dl. (a) Test the hypothesis that the downtown police officers have a higher lead exposure than the officers in the previous study. Be sure to interpret your results in context. a = = 0.05 (b) Explicitly state and check all conditions necessary for inference on this data. (c) Based on your preceding result, without performing a calculation, would a 90% confidence interval for this difference contain 0? Explain why or why not.
2. According to World Health Organization (WHO), the recommended limit for a noise level inside a classroom is 35 dBA. However, nine out of ten schools fail to meet this recommendation. A researcher wishes to conduct a study relevant to the prior information, but as a gap, he decides to include the area (in square meters) of every classroom and how it could possibly affect the resulting noise level. He selects 17 classrooms at random, and the noise levels are recorded in the next slide. a. Find the regression equation and construct the scatter plot diagram. b. Predict the noise level if a classroom has an area of 85.97 m². c. Calculate the coefficient of determination and interpret the findings. d. Calculate the coefficient of alienation and interpret the findings.
According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. a)Suppose the test statistic is t = 2.398. What is the associated p-value? Group of answer choices 0.001 < p-value < 0.002 0.005 < p-value < 0.01 0.01 < p-value < 0.02 0.0005 < p-value < 0.001 b) Suppose the p-value is 0.02 < p-value < 0.04. At α = 0.10 what is the appropriate conclusion to make? Group of answer choices Fail to reject H0 and conclude that the mean weight of all males ages 20-29 is greater than the mean weight of all…
According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. A) What are the correct null and alternative hypotheses? B)What is the parameter of interest? The difference between the mean weight of all males ages 20-29 and the mean weight of all males ages 75+ The mean weight (in kg) The difference between the mean weight of the sample of males ages 20-29 and the mean weight of the sample of males ages 75+ The mean difference between the weights of males ages 20-29 and males ages 75+ c)Is the randomness condition met for…

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