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

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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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The distribution of weekly production (tons) of a rice mill was as follows: Class 71-80 81-90 91-100 101-110 111-120 121-130 131-140 141-150 151-160 >160 Frequency 5 15 7 10 31 13 12 6 16 7 Find the mean, median, and mode for the given data
You are the product manager for "Natural Agriculture". The company president asked you to determine if "Natural Agriculture" has equal sales as "Farmers Co.", which is a strong competitor. The table below contains weekly sales for competing brands for randomly selected 4 approximately equal size stores that did not follow a normal distribution. (Use two digits after deimal point) Natural Farmers Co. Agriculture 2100 2600 1700 1500 1900 1700 1500 2100 Is there a difference between mean sales at a=5%? а. Но: H;: Since test statistic = is than critical value = we and Therefore mean sales are b. Can it be concluded at 5% significance level that the population median sales for Farmers Co. exceeds 1900? Ho: H;: test statistic = Since a=0.05 is than the p-value = and There is evidence to we
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The distribution of daily transactions of a bank (million taka) was as follows: Class <21 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100 101-110 Frequency 11 13 5 12 29 7 10 4 14 5 Find the mean, median, and mode for the given data
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.
2. a) For the following information on a data set: Measurement Class .00- 75 .75-1.50 1.50-2.25 2.25-3.00 3.00-3.75 3.75-4.50 Find the value of k. 0.65 0.47 0.53 0.12 Relative Freq. .02 .01 .03 .05 .10 .14 Measurement Class 4.50-5.25 5.25-6.00 6.00-6.75 6.75-7.50 7.50-8.25 8.25-9.00 9.00-9.75 Relative Freq. .19 -15 k .09 .05 .04 .01
The following table displays a record of sales of a certain product over five weeks: Week Units Sold 1 8 3 4 9 5 12 Using the naïve forecasting method, generate forecasts for weeks 2-5 and calculate the following three accuracy metrics for your forecasting model: a. Mean Forecast Error (MFE): b. Mean Absolute Error (MAE): C. Root Mean Squared Error (RMSE):
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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…

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