escCarekin G=O DESCRIPTIVE STATISTICSApproximating the mean of a data set given a histogramI1!Frequency^6-HOME Realty claims that the mean selling time of a detached, residential house is 30 or fewer days after it is listed with the company. Not ready to believeHOME, you sample 18 customers who sold a detached, residential house through HOME and record the selling times (in days) of the houses. Your data aresummarized in the following histogram.4-Q2-AExplanation0FI3@102CheckF25Based on the histogram, estimate the mean selling time (in days) for the sample of houses. Carry your intermediate computations to at least four decimalplaces, and round your answer to at least one decimal place.0WS2030Selling time (in days)6#320XF3ED3$4S000000F440R1FL50%5F5Twww-awu.aleks.comGMacBook Air6Mathway Precalculus Problem MF6Y88744&HF7© 2023 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | AccessiU► 11*8F81D00 0519FRF9K1OAG0F10P1L

Given data: Classes Frequency(f) midpoint(m) f×m 0-10 3 5 15 10-20 5 15 75 20-30 6 25 150…

Answered: HOME Realty claims that the mean…

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 pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children from her practice, measures their height and head circumference and obtains the data shown below. Height Head Circumference 27 17.5 25 17 26.5 17.2 25.5 17 27.75 17.4 26.25 17.4 26 17.1 27.25 17.4 data table 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374…
Feb. Mar. Apr. May June July Aug Sept. Oct. Store 1 Store 2 6.3 6.5 7.0 6.7 7.6 7.9 8.2 7.7 8.4 8.2 6.2 8.2 8.6 9.4 1. Find the median, mean, and mode sales for each store to the nearest tenth. 2. Plot sales for both stores on the same line graph, with month on the horizontal axis and sales on the vertical axis. 3. What trends are apparent from the preceding line graph?
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Several years ago, the state of California launched an aggressively advertisement campaign against smoking. We've interviewed students from 16 college campuses in California and recorded for each campus the percentage of students who claimed that they had encountered assay least one anti smoking advertisement on campus in the past month. Here are those percentages. 53 39 30 49 48 42 41 38 26 36 40 42 52 51 45 50 Construct a box and whisker plot for the data.
It is generally believed that there is a relationship between a college’s acceptance rate and its graduation rate. I wanted to know how strong this relationship is within the top universities in the country so I collected the graduation rate and acceptance rate data of a randomly selected sample of universities from all the top U.S. universities (with an acceptance rate at or below 30%). The data set is in Tab Q2 of the Excel data file. a.) Create a scatter plot between the two variables using Excel. Paste the plot here and format it into an APA-styled “figure” (see Assignment Guides for APA format).Be sure to submit the Excel file that you used to create the scatter plot. b) Calculate the mean and standard deviation for the two variables separately. c) Calculate the Z scores for all the scores of the two variables, separately.Tips: It may help to prevent error and to increase clarity if the process and/or the answers (z scores) are listed in a table format. d) Calculate…
10. Refer back to the histogram from question #4.(Attatched)a. Compute the mean number of shipping daysc. Write the 5-number summary for this data.d. Create box plot.
Over the first five years of owning her car, Gina drove about 12,700 miles the first year, 15,478 miles the second year, 12,675 the third year, 11,850 the fourth year, and 13,075 the fifth year. a. Find the mean, median, and mode of this data. b. Explain which measure of central tendency will best predict how many miles Gina will drive in the sixth year. a. mean= 12,700; median= 13,156; no mode; the mean is the best choice because it is representative of the entire data set. b. mean= 13,156; median= 12,700; mode= 3,628; the median is the best choice because it is not skewed by the high outlier. c. mean= 13,156; median= 12,700; no mode; the mean is the best choice because it is representative of the entire data set. d. mean= 13,156; median= 12,700; no mode; the median is the best choice because it is not skewed by the high outlier.
For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of the American League teams for the year 2000. The variable x denotes the 2000 player payroll (in millions of dollars), and the variable y denotes the mean attendance (in thousands of fans) for the 81 home games that year. The data are plotted in the Figure 1 scatter plot. Also given is the product of the player payroll and the mean attendance for each of the fourteen teams. (These products, written in the column labelled "xy", may aid in calculations.) Anaheim Baltimore Boston Chicago White Sox Cleveland Detroit Kansas City Minnesota Mean Player payroll, x attendance, y (in $1,000,000s) thousands) New York Yankees Oakland Seattle Tampa Bay Texas Toronto Send data to calculator 59.2 80.5 97.0 42.3 90.5 68.6 31.8 23.5 114.3 43.0 69.9 65.2 72.7 66.8 25.56 40.74 31.98 24.07 42.72 31.23 20.74 13.09 39.88 21.36 38.89 18.27 34.57 22.47 xy x 1513.152 3279.57 3102.06…
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