FileEdit View HistoryHome - myRCCXBookmarks Profiles Tab Window Helpmylearning.suny.edu/d21/le/content/920969/viewContent/25846461/ViewyearsA.3 HW-23FA STATISTICS (81 x9.5 10.5 10 10 119.5 10.5 9 11 11In a fifth-grade class, a teacher was interested in the average age of her students. The following dataare the ages of a sample of 20 fifth-graders. The ages are rounded to the nearest half-year.Find the range for this sample.years11 10 11 9 1110.5 9 11 9 10.5Find the standard deviation for this sample. Round your answer to the nearest tenth.Find the five-number summary for this sample.Submit Questionb Home | bartlebyMin Q1 Median Q3 MaxQuestion Help: Video 1 Video 2WORSEP15+MacBook Air

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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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Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May , ). Hotel occupancy data for February in two consecutive years are as follows. Current Year Previous Year Occupied Rooms 1,512 1,539 Total Rooms 1,800 1,900
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The picture for the dataset for AIDS cases below include the numbers of cases of AIDS in Australia by date of diagnosis for successive 3-month periods from 1984 to 1988. (Data from National Centre for HIV Epidemiology and Clinical Research, 1994.) Please answer all parts a, b, and c of this question. Show all work. a) Perform an EDA to inspect, understand and describe the information collected in this dataset. Use appropriate summary statistics and plots to present your results from the EDA. b) What is your conclusion about AIDS incidence in Australia during this time period? c) Suggest two probability distributions which could be good candidates for fitting the number of cases in this study. Which probability distribution would you prefer to fit the data in this particular example? Why?
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College students recorded the self-reported weights (in pounds) of some community college male baseball players and male soccer players. Write a brief comparison of the distributions of weights for the two groups. Include appropriate graphics. Click the icon to view the weights of male baseball and soccer players. Make dotplots using the same axis with one set of data above the other. Choose the correct graph below. Click here to view dotplots C Click here to view dotplots D. Click here to view dofplots B. O Click here to view dotplats A Compare the shape, center, and variation (and mention outliers if there were any). Baseball players' weights are to weigh with The soccer players' weights are with The baseball players tend soccer players. The baseball players have a distribution with variability than the soccer players' distribution. Data table Baseball Players' Weights: 190,192,183,183,190,187,187,187,192,192,184,184,184,192,187,228,183,190,180,184,183,187,184,184,205,187,230 Soccer…
KidsFeet Parallel Scatterplots by Sex The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children was the length, (length), and width, (width), of their longest foot. Based on the scatterplot shown below, there appears to be a positive linear association between the length and width of a fourth grader's biggest foot that holds even when the child's sex is accounted for. One of the following lines of code created everything in the graph below, except for the title and the axis labels. Which one was it?? ( ) xyplot(length~width, groups=sex, data=KidsFeet) ( ) xyplot(width~length,groups=sex,data=KidsFeet) ( ) xyplot(width~length|sex,data=KidsFeet) ( ) xyplot(width~length,groups=sex,data=KidsFeet, auto.key=TRUE) ( ) xyplot(length~width|sex, data=KidsFeet) ( ) xyplot(length~width, data=KidsFeet) ( ) xyplot(length~width, groups=sex, data=KidsFeet, auto.key=TRUE) ( )…
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