A County Board of Supervisors has appointed an urban planning committee to evaluate proposed community developmentprojects. The committee is analyzing, among other things, data on household incomes in two cities within the county. Theyhave collected data on the income of 77 households in each of the two cities. The histograms below show the distributions ofthe two sets of incomes (in thousands of dollars). Each histogram shows household income on the horizontal axis andnumber of households on the vertical axis. The means and standard deviations for the data sets are also given.City ACity B25+20+15+10+5-←1020 304050 60 70 80 90 100City A mean: 73.96 thousand dollarsCity A standard deviation: 20.30 thousanddollarsExplanation25-20-15-1045+10(a) Identify the data set for which it is appropriate to use the Empirical Rule.It is appropriate to use the Empirical Rule for the (Choose one) ▼data set.20 30The committee wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it isappropriate to use the Empirical Rule on only one of them!Answer the parts below to help the committee with their approximations.For the data set identified in part (a), use the Empirical Rule to make the followingapproximations.(c) Approximately 68% of the incomes are between thousand dollars andthousand dollars.(b) The percentage of incomes between 25.72 thousand dollars and 83.76 thousanddollars is approximately (Choose one).4050 60 70 80 90City B mean: 54.74 thousand dollarsCity B standard deviation: 14.51 thousanddollarsEspañoX5100Ⓒ2022 McGraw Hill LLC. All Rights Reserved. Terms of Use Privacy Center | AccessibilityDA

Answered: Image /qna-images/answer/e3aa82b1-a7ab-4992-bce8-480c8edcdc9b.jpg

Answered: (a) Identify the data set for which it…

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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Which of the following statements is NOT TRUE regarding the calculating of the median of a data set. ___Before the median (or midpoint) of a data set can be determined, the quantitative data must be arranged in order (usually low to high). ___If there is an even number of members in the data set, there is no median. ___If there is an even number of members in the data set, the median is the average of the value just before and just after the midpoint. ___If there is an odd number of members in the data set, the median will be a member of the data set.
You are given the following claim data for automobile policies: 200 255 295 320 360 420 440 490 500 520 1020 Calculate the smoothed empirical estimate of the 45th percentile. (A) 358 (B) 371 (C) 384 (D) 390 (E) 396
HOME Realty claims that it can sell a detached, residential house faster than any other realty company. With the aim of examining HOME's claim, you sample 20 customers who sold a detached, residential house through HOME and record the selling times (in days) of the houses. Your data are summarized in the following histogram. Relative frequency 0.4- 0.3 0.35 0.20 0.2+ 0.20 0.15 0.10 0.1- 0.0- 0 10 20 30 Selling time (in days) 40 50 Based on the histogram, find the proportion of selling times in the sample that are at least 20 days. Write your answer as a decimal, and do not round your answer. 0 × 5
The accompanying data were read from a plot (and are a subset of the complete data set) given in an article. The data represent the mean response times for a group of individuals with closed-head injury (CHI) and a matched control group without head injury on 10 different tasks. Each observation was based on a different study, and used different subjects, so it is reasonable to assume that the observations are independent. Study 1 y= 2 3 4 5 6 7 8 9 10 Mean Response Time CHI Control 250 360 475 525 610 740 880 920 1010 1200 304 492 432 659 683 922 1044 1421 1329 1481 1815 (a) Fit a linear regression model that would allow you to predict the mean response time for those suffering a closed-head injury from the mean response time on the same task for individuals with no head injury. (Round your answers to four decimal places.) (b) Do the sample data support the hypothesis that there is a useful linear relationship between the mean response time for individuals with no head injury and the…
4) The table shows, for the years 1997–2012, the mean hourly wage for residents of the town of Pity Me and the mean weekly rent paid by the residents. Mean hourly wage (dollars) Mean hour. Mean weekly rent (dollars) Mean weekly rent (dollars) Year Year (dollar 116 1997 57 10.38 2005 28.99 59 113 1998 10.89 2006 28.63 2007 1999 62 11.96 112 36.75 14.55 2000 63 12.46 2008 86 17.90 2001 86 17.72 2009 90 2002 2010 119 28.07 90 14.67 131 35.24 2003 2011 17.97 100 122 2004 2012 22.23 31.87 115 Find the least squares line that uses mean hourly wage to predict mean weekly rent. Round values to the nearest ten-thousandth. Include a scatter plot with the regression lino
The figure shows population density (people per square mile) for all states of a certain country. The states are divided into four geographical regions: A, B, C, and D. Answer the questions below. D- 0 100 200 300 400 500 600 700 800 900 1000 1100 People per Square Mile Why is it best to compare medians and interquartile ranges for these data, rather than comparing means and standard deviations? OA. These data are fairly symmetric and do not have outliers, and the median and interquartile range provide more reliable information in these circumstances. B. Some of these data have outliers and/or are skewed, and the median and interquartile range amplify the effects of outliers and skewness. OC. Some of these data have outliers and/or are skewed, and the median and interquartile range are resistant to outliers. OD. Some of these data have vastly different centers, and the median and interquartile range provide more reliable information in these circumstances. List the approximate median…
The fitted line that results from regressions of the Single Index Model is called:a. The security specific line.b. The security characteristic line.c. The single index line.d. The security market line.
For the following data: Predictor Values (x) - 30, 32, 32, 33, 35, 31, 32, 33, 34, 36, 38, 39, 44, 35, 42, 37, 43, 54, 41, 44, 45, 52, 45, 49, 42, 51, 43, 56, 44, 47, 49, 50, 58, 51, 62, 46, 48, 50, 57, 61, 53, 60, 64, 51, 55, 52, 40, 53, 59, 63, 55, 58, 60, 61, 62, 63, 52, 65, 57, 64, 58, 59, 61, 63, 60, 62, 64, 65. Response Values (y) - 108, 110, 112, 116, 116, 120, 120, 122, 124, 124, 124, 124, 124, 126, 126, 128, 130, 130, 132, 132, 132, 132, 134, 134, 136, 137, 138, 138, 140, 140, 140, 140, 140, 141, 145, 148, 148, 148, 148, 148, 150, 150, 150, 152, 152, 154, 155, 155, 156, 158, 160, 160, 162, 162, 162, 164, 166, 166, 168, 168, 170, 170, 172, 174, 178, 180, 180, 180. a. Find the regression equation b. In a data for women without pets, there is a 40-year old (x) with a blood pressure of 155 (y). Using the regression equation, calculate their residual. Please show steps if possible
The accompanying data were read from a plot (and are a subset of the complete data set) given in an article. The data represent the mean response times for a group of individuals with closed-head injury (CHI) and a matched control group without head injury on 10 different tasks. Each observation was based on a different study, and used different subjects, so it is reasonable to assume that the observations are independent. y = Study 1 2 3 4 5 6 7 8 9 10 Mean Response Time CHI 302 492 658 684 922 1044 1421 1329 1481 1815 t = Control 250 360 475 (a) Fit a linear regression model that would allow you to predict the mean response time for those suffering a closed-head injury from the mean response time on the same task for individuals with no head injury. (Round your answers to four decimal places.) 525 610 740 880 920 1010 1200 (b) Do the sample data support the hypothesis that there is a useful linear relationship between the mean response time for individuals with no head injury and the…
We will rank the y-values of the following data set: x y -2 -11 -0.8 -11.9 0.7 11.7 1.7 12.2 2.4 1.8 4.6 9.4 6 11.9 7.8 33.4 8.4 27 9.7 21.5 The scatterplot of the data looks like this: 123456789101112-1-2-3-4-5123456789101112131415161718192021222324252627282930313233343536-1-2-3-4-5-6-7-8-9-10-11-12-13-14 Fill in the following table: x y x-rank y-rank -2 -11 1 -0.8 -11.9 2 0.7 11.7 3 1.7 12.2 4 2.4 1.8 5 4.6 9.4 6 6 11.9 7 7.8 33.4 8 8.4 27 9 9.7 21.5 10
Comment on one aspect of the comparison of data from the twodatasets that can be seen more easily on the histograms than onthe boxplots.
Peanut Jar Data: 11.94 11.74 12.25 11.32 11.85 11.86 11.59 12.15 11.76 11.55 12.31 12.59

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