APPLIED CALCULUS (WILEY PLUS)
6th Edition
ISBN: 9781119399322
Author: Hughes-Hallett
Publisher: WILEY
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Chapter 4.7, Problem 21P
To determine
Discuss the possible outcomes and what percent of patients fall in each outcome when 50 mg of the drug is administered.
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Life insurance companies are keenly interested in predicting how long their customers will live, because their premiums and profitability depend on such numbers. An actuary for one insurance company gathered data from 100 recently deceased male customers. He recorded the age at death of the customer plus the ages at death of his mother and father, the mean ages at death of his grandmothers and the mean ages at death of his grandfathers. These data are recorded in columns 1 to 5 respectively, in file LONGEVITY.xlsx. a Perform a multiple regression analysis on these data. b Interpret the coefficient estimates and their signs. c Test for the significance of all the independent variable coefficients. (alpha = 0.05) d Is the model likely to be useful in predicting men’s longevity? e Are the required conditions satisfied? Justify your answer. f Predict the longevity of a man whose parents lived to the age of 70, whose grandmothers averaged 80 years and…
In 1999, the average percentage of women who received prenatal care per country is 80.1%. Table #7.3.9 contains the percentage of woman receiving prenatal care in 2009 for a sample of countries ("Pregnant woman receiving," 2013). Do the data show that the average percentage of women receiving prenatal care in 2009 is higher than in 1999? Test at the 5% level.
Table #7.3.9: Percentage of Woman Receiving Prenatal Care
100.0
72.73
74.52
75.79
76.28
76.28
100.0
76.65
80.34
80.60
81.90
86.30
87.70
100.0
87.76
88.40
90.70
91.50
91.80
92.10
100.0
92.20
92.41
92.47
93.00
93.20
93.40
100.0
93.63
93.68
93.80
94.30
94.51
95.00
95.80
95.80
96.23
96.24
97.30
97.90
97.95
98.20
99.00
99.00
99.10
99.10
Drop-off points (points de collecte in French), where residents can dispose of their organic waste for composting, were established in each of the five targeted neighborhoods of PROBLEM 1. Camille wants to see whether or not there exists a relationship between the average weekly amount of non-disposed food waste per household and the availability of drop-off points in the neighborhood, expressed as the number of households per drop-off point (considered fixed). Her data and some of her preliminary calculations are presented below:
Camille also calculated the slope of the fitted regression line: estimated slope = 0.008. Test whether or not the availability of drop-off points in the neighborhood has a linear effect on the amount of non-disposed food waste per household. Use α = 0.10.
Chapter 4 Solutions
APPLIED CALCULUS (WILEY PLUS)
Ch. 4.1 - Prob. 1PCh. 4.1 - Prob. 2PCh. 4.1 - Prob. 3PCh. 4.1 - Prob. 4PCh. 4.1 - Prob. 5PCh. 4.1 - Prob. 6PCh. 4.1 - Prob. 7PCh. 4.1 - Prob. 8PCh. 4.1 - Prob. 9PCh. 4.1 - Prob. 10P
Ch. 4.1 - Prob. 11PCh. 4.1 - Prob. 12PCh. 4.1 - Prob. 13PCh. 4.1 - Prob. 14PCh. 4.1 - Prob. 15PCh. 4.1 - Prob. 16PCh. 4.1 - Prob. 17PCh. 4.1 - Prob. 18PCh. 4.1 - Prob. 19PCh. 4.1 - Prob. 20PCh. 4.1 - Prob. 21PCh. 4.1 - Prob. 22PCh. 4.1 - Prob. 23PCh. 4.1 - Prob. 24PCh. 4.1 - Prob. 25PCh. 4.1 - Prob. 26PCh. 4.1 - Prob. 27PCh. 4.1 - Prob. 28PCh. 4.1 - Prob. 29PCh. 4.1 - Prob. 30PCh. 4.1 - Prob. 31PCh. 4.1 - Prob. 32PCh. 4.1 - Prob. 33PCh. 4.1 - Prob. 34PCh. 4.1 - Prob. 35PCh. 4.1 - Prob. 36PCh. 4.1 - Prob. 37PCh. 4.1 - Prob. 38PCh. 4.1 - Prob. 39PCh. 4.1 - Prob. 40PCh. 4.1 - Prob. 41PCh. 4.1 - Prob. 42PCh. 4.1 - Prob. 43PCh. 4.1 - Prob. 44PCh. 4.1 - Prob. 45PCh. 4.1 - Prob. 46PCh. 4.1 - Prob. 47PCh. 4.1 - Prob. 48PCh. 4.1 - Prob. 49PCh. 4.1 - Prob. 50PCh. 4.1 - Prob. 51PCh. 4.1 - Prob. 52PCh. 4.1 - Prob. 53PCh. 4.1 - Prob. 54PCh. 4.1 - Prob. 55PCh. 4.1 - Prob. 56PCh. 4.1 - Prob. 57PCh. 4.1 - Prob. 58PCh. 4.2 - Prob. 1PCh. 4.2 - Prob. 2PCh. 4.2 - Prob. 3PCh. 4.2 - Prob. 4PCh. 4.2 - Prob. 5PCh. 4.2 - Prob. 6PCh. 4.2 - Prob. 7PCh. 4.2 - Prob. 8PCh. 4.2 - Prob. 9PCh. 4.2 - Prob. 10PCh. 4.2 - Prob. 11PCh. 4.2 - Prob. 12PCh. 4.2 - Prob. 13PCh. 4.2 - Prob. 14PCh. 4.2 - Prob. 15PCh. 4.2 - Prob. 16PCh. 4.2 - Prob. 17PCh. 4.2 - Prob. 18PCh. 4.2 - Prob. 19PCh. 4.2 - Prob. 20PCh. 4.2 - Prob. 21PCh. 4.2 - Prob. 22PCh. 4.2 - Prob. 23PCh. 4.2 - Prob. 24PCh. 4.2 - Prob. 25PCh. 4.2 - Prob. 26PCh. 4.2 - Prob. 27PCh. 4.2 - Prob. 28PCh. 4.2 - Prob. 29PCh. 4.2 - Prob. 30PCh. 4.2 - Prob. 31PCh. 4.2 - Prob. 32PCh. 4.2 - Prob. 33PCh. 4.2 - Prob. 34PCh. 4.2 - Prob. 35PCh. 4.2 - Prob. 36PCh. 4.2 - Prob. 37PCh. 4.2 - Prob. 38PCh. 4.2 - Prob. 39PCh. 4.2 - Prob. 40PCh. 4.2 - Prob. 41PCh. 4.3 - Prob. 1PCh. 4.3 - Prob. 2PCh. 4.3 - Prob. 3PCh. 4.3 - Prob. 4PCh. 4.3 - Prob. 5PCh. 4.3 - Prob. 6PCh. 4.3 - Prob. 7PCh. 4.3 - Prob. 8PCh. 4.3 - Prob. 9PCh. 4.3 - Prob. 10PCh. 4.3 - Prob. 11PCh. 4.3 - Prob. 12PCh. 4.3 - Prob. 13PCh. 4.3 - Prob. 14PCh. 4.3 - Prob. 15PCh. 4.3 - Prob. 16PCh. 4.3 - Prob. 17PCh. 4.3 - Prob. 18PCh. 4.3 - Prob. 19PCh. 4.3 - Prob. 20PCh. 4.3 - Prob. 21PCh. 4.3 - Prob. 22PCh. 4.3 - Prob. 23PCh. 4.3 - Prob. 24PCh. 4.3 - Prob. 25PCh. 4.3 - Prob. 26PCh. 4.3 - Prob. 27PCh. 4.3 - Prob. 28PCh. 4.3 - Prob. 29PCh. 4.3 - Prob. 30PCh. 4.3 - Prob. 31PCh. 4.3 - Prob. 32PCh. 4.3 - Prob. 33PCh. 4.3 - Prob. 34PCh. 4.3 - Prob. 35PCh. 4.3 - Prob. 36PCh. 4.3 - Prob. 37PCh. 4.3 - Prob. 38PCh. 4.3 - Prob. 39PCh. 4.3 - Prob. 40PCh. 4.3 - Prob. 41PCh. 4.3 - Prob. 42PCh. 4.3 - Prob. 43PCh. 4.3 - Prob. 44PCh. 4.3 - Prob. 45PCh. 4.3 - Prob. 46PCh. 4.3 - Prob. 47PCh. 4.3 - Prob. 48PCh. 4.3 - Prob. 49PCh. 4.3 - Prob. 50PCh. 4.3 - Prob. 51PCh. 4.3 - Prob. 52PCh. 4.3 - Prob. 53PCh. 4.3 - Prob. 54PCh. 4.3 - Prob. 55PCh. 4.3 - Prob. 56PCh. 4.3 - Prob. 57PCh. 4.3 - Prob. 58PCh. 4.3 - Prob. 59PCh. 4.3 - Prob. 60PCh. 4.4 - Prob. 1PCh. 4.4 - Prob. 2PCh. 4.4 - Prob. 3PCh. 4.4 - Prob. 4PCh. 4.4 - Prob. 5PCh. 4.4 - Prob. 6PCh. 4.4 - Prob. 7PCh. 4.4 - Prob. 8PCh. 4.4 - Prob. 9PCh. 4.4 - Prob. 10PCh. 4.4 - Prob. 11PCh. 4.4 - Prob. 12PCh. 4.4 - Prob. 13PCh. 4.4 - Prob. 14PCh. 4.4 - Prob. 15PCh. 4.4 - Prob. 16PCh. 4.4 - Prob. 17PCh. 4.4 - Prob. 18PCh. 4.4 - Prob. 19PCh. 4.4 - Prob. 20PCh. 4.4 - Prob. 21PCh. 4.4 - Prob. 22PCh. 4.4 - Prob. 23PCh. 4.4 - Prob. 24PCh. 4.4 - Prob. 25PCh. 4.4 - Prob. 26PCh. 4.4 - Prob. 27PCh. 4.4 - Prob. 28PCh. 4.4 - Prob. 29PCh. 4.4 - Prob. 30PCh. 4.4 - Prob. 31PCh. 4.4 - Prob. 32PCh. 4.4 - Prob. 33PCh. 4.4 - Prob. 34PCh. 4.4 - Prob. 35PCh. 4.5 - Prob. 1PCh. 4.5 - Prob. 2PCh. 4.5 - Prob. 3PCh. 4.5 - Prob. 4PCh. 4.5 - Prob. 5PCh. 4.5 - Prob. 6PCh. 4.5 - Prob. 7PCh. 4.5 - Prob. 8PCh. 4.5 - Prob. 9PCh. 4.5 - Prob. 10PCh. 4.5 - Prob. 11PCh. 4.5 - Prob. 12PCh. 4.5 - Prob. 13PCh. 4.5 - Prob. 14PCh. 4.5 - Prob. 15PCh. 4.5 - Prob. 16PCh. 4.5 - Prob. 17PCh. 4.6 - Prob. 1PCh. 4.6 - Prob. 2PCh. 4.6 - Prob. 3PCh. 4.6 - Prob. 4PCh. 4.6 - Prob. 5PCh. 4.6 - Prob. 6PCh. 4.6 - Prob. 7PCh. 4.6 - Prob. 8PCh. 4.6 - Prob. 9PCh. 4.6 - Prob. 10PCh. 4.6 - Prob. 11PCh. 4.6 - Prob. 12PCh. 4.6 - Prob. 13PCh. 4.6 - Prob. 14PCh. 4.6 - Prob. 15PCh. 4.6 - Prob. 16PCh. 4.6 - Prob. 17PCh. 4.6 - Prob. 18PCh. 4.6 - Prob. 19PCh. 4.6 - Prob. 20PCh. 4.6 - Prob. 21PCh. 4.6 - Prob. 22PCh. 4.6 - Prob. 23PCh. 4.6 - Prob. 24PCh. 4.6 - Prob. 25PCh. 4.6 - Prob. 26PCh. 4.6 - Prob. 27PCh. 4.6 - Prob. 28PCh. 4.6 - Prob. 29PCh. 4.6 - Prob. 30PCh. 4.6 - Prob. 31PCh. 4.7 - Prob. 1PCh. 4.7 - Prob. 2PCh. 4.7 - Prob. 3PCh. 4.7 - Prob. 4PCh. 4.7 - Prob. 5PCh. 4.7 - Prob. 6PCh. 4.7 - Prob. 7PCh. 4.7 - Prob. 8PCh. 4.7 - Prob. 9PCh. 4.7 - Prob. 10PCh. 4.7 - Prob. 11PCh. 4.7 - Prob. 12PCh. 4.7 - Prob. 13PCh. 4.7 - Prob. 14PCh. 4.7 - Prob. 15PCh. 4.7 - Prob. 16PCh. 4.7 - Prob. 17PCh. 4.7 - Prob. 18PCh. 4.7 - Prob. 19PCh. 4.7 - Prob. 20PCh. 4.7 - Prob. 21PCh. 4.7 - Prob. 22PCh. 4.7 - Prob. 23PCh. 4.7 - Prob. 24PCh. 4.8 - Prob. 1PCh. 4.8 - Prob. 2PCh. 4.8 - Prob. 3PCh. 4.8 - Prob. 4PCh. 4.8 - Prob. 5PCh. 4.8 - Prob. 6PCh. 4.8 - Prob. 7PCh. 4.8 - Prob. 8PCh. 4.8 - Prob. 9PCh. 4.8 - Prob. 10PCh. 4.8 - Prob. 11PCh. 4.8 - Prob. 12PCh. 4.8 - Prob. 13PCh. 4 - Prob. 1SYUCh. 4 - Prob. 2SYUCh. 4 - Prob. 3SYUCh. 4 - Prob. 4SYUCh. 4 - Prob. 5SYUCh. 4 - Prob. 6SYUCh. 4 - Prob. 7SYUCh. 4 - Prob. 8SYUCh. 4 - Prob. 9SYUCh. 4 - Prob. 10SYUCh. 4 - Prob. 11SYUCh. 4 - Prob. 12SYUCh. 4 - Prob. 13SYUCh. 4 - Prob. 14SYUCh. 4 - Prob. 15SYUCh. 4 - Prob. 16SYUCh. 4 - Prob. 17SYUCh. 4 - Prob. 18SYUCh. 4 - Prob. 19SYUCh. 4 - Prob. 20SYUCh. 4 - Prob. 21SYUCh. 4 - Prob. 22SYUCh. 4 - Prob. 23SYUCh. 4 - Prob. 24SYUCh. 4 - Prob. 25SYUCh. 4 - Prob. 26SYUCh. 4 - Prob. 27SYUCh. 4 - Prob. 28SYUCh. 4 - Prob. 29SYUCh. 4 - Prob. 30SYUCh. 4 - Prob. 31SYUCh. 4 - Prob. 32SYUCh. 4 - Prob. 33SYUCh. 4 - Prob. 34SYUCh. 4 - Prob. 35SYUCh. 4 - Prob. 36SYUCh. 4 - Prob. 37SYUCh. 4 - Prob. 38SYUCh. 4 - Prob. 39SYUCh. 4 - Prob. 40SYUCh. 4 - Prob. 41SYUCh. 4 - Prob. 42SYUCh. 4 - Prob. 43SYUCh. 4 - Prob. 44SYUCh. 4 - Prob. 45SYUCh. 4 - Prob. 46SYUCh. 4 - Prob. 47SYUCh. 4 - Prob. 48SYUCh. 4 - Prob. 49SYUCh. 4 - Prob. 50SYUCh. 4 - Prob. 51SYUCh. 4 - Prob. 52SYUCh. 4 - Prob. 53SYUCh. 4 - Prob. 54SYUCh. 4 - Prob. 55SYUCh. 4 - Prob. 56SYUCh. 4 - Prob. 57SYUCh. 4 - Prob. 58SYUCh. 4 - Prob. 59SYUCh. 4 - Prob. 60SYUCh. 4 - Prob. 61SYUCh. 4 - Prob. 62SYUCh. 4 - Prob. 63SYUCh. 4 - Prob. 64SYUCh. 4 - Prob. 65SYUCh. 4 - Prob. 66SYUCh. 4 - Prob. 67SYUCh. 4 - Prob. 68SYUCh. 4 - Prob. 69SYUCh. 4 - Prob. 70SYUCh. 4 - Prob. 71SYUCh. 4 - Prob. 72SYUCh. 4 - Prob. 73SYUCh. 4 - Prob. 74SYUCh. 4 - Prob. 75SYUCh. 4 - Prob. 76SYUCh. 4 - Prob. 77SYUCh. 4 - Prob. 78SYUCh. 4 - Prob. 79SYUCh. 4 - Prob. 80SYU
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forward- х i Data Table ets he Full data set O Assets R&D Expense R&D Expense 712.087 Assets 3,478.557 3,462.224 1,206.455 345.709 7,785.525 389.959 918.899 90.404 117.895 2,390.016 257.571 446.339 47.523 678.531 71.401 1,069.117 2,465.859 3,945.287 168.631 111.724 2,648.273 3,406.446 9,250.323 292.876 224.715 383.186 nt 410.051 988.349 19.257 485.204 55.161 493.116 55.046 2,363.477 251.699 0) 102.148 13.489 221.321 27.958 3,728.419 1,389.377 1,706.486 327.691 1,465.861 158.293 141.616 165.093 19.154 161.317 2,988.141 301.803 nat Print Donearrow_forwardDrop-off points (points de collecte in French), where residents can dispose of their organic waste for composting, were established in each of the five targeted neighborhoods of PROBLEM 1. Camille wants to see whether or not there exists a relationship between the average weekly amount of non-disposed food waste per household and the availability of drop-off points in the neighborhood, expressed as the number of households per drop-off point (considered fixed). Her data and some of her preliminary calculations are presented below: Number of Amount of non- (x, – x)* (Y, -Y) (x; - x)(Y, – Y) households per drop-off point disposed food waste per household (kg/week) Yi Xi 387.5 4.0 7656.25 0.25 43.75 337.5 3.2 1406.25 0.09 -11.25 187.5 2.5 12656.25 1.00 112.50 412.5 5.0 12656.25 2.25 168.75 175.0 2.8 15625 0.49 87.50 E; = 1500 Σ 17.5 E; = 50000 Σ -4.08 Ej = 401.25 2) Camille also calculated the slope of the fitted regression line: estimated slope = 0.008. Test whether or not the…arrow_forward
- Problem #2. Little is known about heroin and cocaine use in Afghanistan. Opium was known to the ancient Persians and has traditionally been used for recreation, pain relief, and treatment of mental disorders. Data were gathered from 306 consecutive addicts who sought treatment an identified addicts center from July to September in a recent year. An interview was conducted with the subject and a close relative. The data collected revealed that the mean (average) age of the subject was 37.0 years; that 97.7% were male, of whom 73.9% were married and 24.2% were single. About 36 % of the addicts reported that they had been using the substance for more than 10 years. Only 2.3% reported use of one-year or less. The Table below gives the frequency distribution for the longest duration of abstinence. 74.3% gave a history of abstinence. Only 1.6% reported 5 years or more as the longest period of abstinence. 18.3% indicated one to three months as the longest period of abstinence. Overall, 62.1 %…arrow_forwardProblem #2. Little is known about heroin and cocaine use in Afghanistan. Opium was known to the ancient Persians and has traditionally been used for recreation, pain relief, and treatment of mental disorders. Data were gathered from 306 consecutive addicts who sought treatment an identified addicts center from July to September in a recent year. An interview was conducted with the subject and a close rélative. The data collected revealed that the mean (average) age of the subject was 37.0 years; that 97.7% were male, of whom 73.9% were married and 24.2% were single. About 36 % of the addicts reported that they had been using the substance for more than 10 years. Only 2.3% reported use of one-year or less. The Table below gives the frequency distribution for the longest duration of abstinence. 74.3% gave a history of abstinence. Only 1.6% reported 5 years or more as the longest period of abstinence. 18.3% indicated one to three months as the longest period of abstinence. Overall, 62.1 %…arrow_forwardA researcher is interested in studying the relationship between commute time (defined as the number of minutes it takes a person to get to work in the morning) and job satisfaction (defined on a scale from 1=very dissatisfied to 5=very satisfied). The researcher believes that a person with a longer commute time will have lower job satisfaction. The researcher surveys 20 Valley commuters and finds the following data. Respond to questions 1 and 2 based on these data. Commuter Length of Commute (minutes) Job Satisfaction(1=very dissatisfied;5=very satisfied) Commuter 1 10 4 Commuter 2 65 1 Commuter 3 30 4 Commuter 4 40 2 Commuter 5 15 5 Commuter 6 20 5 Commuter 7 60 2 Commuter 8 50 1 Commuter 9 45 3 Commuter 10 20 3 Commuter 11 30 4 Commuter 12 35 4 Commuter 13 20 5 Commuter 14 30 4 Commuter 15 40 2 Commuter 16 10 5 Commuter 17 20 5 Commuter…arrow_forward
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