Use a calculator or computer software to generate a normal quantile plot for the data in the accompanying table. Then determine whether thedata come from a normally distributed population.Click the icon to view the data set.Generate a normal quantile plot for the data. Choose the correct graph below.OA.3.002.00-1.00-0.00--1.00--2.00--3.00-0 100 200 300 400 500X ValueData tableSpace Flight Durations (hours)0350100 40030020050150 200OB.3.00-2.00-Print1.00-0.00--1.00--2.00--3.00+0BEELD100 200 300 400 500X Value300300200 100450 2005000400 100 450GDetermine whether the data come from a normally distributed population. Choose the correct answer below.OA. The distribution is not normal. The points are not reasonably close to a straight line.OB. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern.OC. The distribution is normal. The points are not reasonably close to a straight line and do not show a systematic pattern that is not astraight-line pattern.OD. The distribution is not normal. The points do not show any systematic pattern that is a straight-line pattern.Done200 300 250 150450 150 50350 250 150 40005045050150400200350C.3.00-2.00-1.00-0.00--1.00--2.00--3.00+0100 200 300 400 500X Value

The data is given on space fight duration in hours.Given that,Sample size

Answered: Generate a normal quantile plot for the…

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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Use a calculator or computer software to generate a normal quantile plot for the data in the accompanying table. Then determine whether the data come from a normally distributed population. Click the icon to view the data set. Generate a normal quantile plot for the data. Choose the correct graph below. OA. 3.00 2.00- 1.00- 0.00- -1.00- Q Q -2.00 -3.00 100 200 300 400 500 0 X Value OB. 3.00 2.00- 1.00- 0.00- -1.00- -2.00- -3.00- ... 0 100 200 300 400 500 X Value Q Q G O C. 3.00 2.00 P 1.00 0.00- -1.00- -2.00- 0 100 200 300 400 500 X Value -3.00+ Determine whether the data come from a normally distributed population. Choose the correct answer below. OA. The distribution is not normal. The points are not reasonably close to a straight line. OB. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern. OC. The distribution is not normal. The points show a systematic pattern that is not a straight-line pattern. OD. The distribution is normal. The…
Last two subpart please
(Score for Question 2: of 7 points) 2. The data in the table represents the ralnfall (in inches) for two different cities every month. City 1 3.1 4.5 6.3 7.3 4.3 33 2.1 1.1 0.9 0.8 City 2 2.3 2.4 3.3 3.6 3.2 5.2 2.2 2.1 2.0 1.8 (a) Which city had the most spread in their rainfall? Show your work (b) Calculate the IQR for both cities. What is the difference between the IQR for both cities? (c) Which city had the most rainfall? Explain why you chose that city Answer. States) OFocus 100% pased-station us-cli. ational Conters for Environmontal DE hp
Solve #3 with data shown.
Based on the line of best fit for the data below, select which choice best predicts the y-value when the x-value is 10. -80 -75 -70 -65 -60 -55- -50+ -45- -40- -35 -30- -25 -20+ -15 -10 -5- 0 O O O O 96 80 91 85 8 10 11 12
Which of the following is a plausible correlation for a person’s height and age from birth to age 10? a. 0.89 b. 0 c. -0.89
Mo. Please give only typed answer.
This data describes the flight of a plastic glider launched from a tower on a hilltop. The height values are negative whenever the glider was below the height of the hilltop. Find the lowest point in the gliders path. TIME (s) HEIGHT (m) 0 9 1 5.5 2 2.5 3 0 4 -2 5 -3.5 6 -4.5 7 -5 8 -5 9 -4.5 10 -3.5 11 -2 12 0 13 2.5 14 5.5 15 9 16 13 17 17.5 18 22.5 19 28 20 34
Make box and whisker plot of average temperature of California in June, December, and march. Also, compare22 the results. year March (°C) June (°C) December (°C) 2004 7 22 -10 2005 8 23 -69 2006 10 24 -10 2007 9 23 -8 2008 8 25 -7 2009 10 26 -9 2010 27 -6 2011 11 29 -5 2012 16 29 -10 2013 17 29 -10 2014 13 29 -8 2015 14 25 -6 2016 17 28 -9 2017 15 27 -7 2018 18 29 -9 2019 14 26 -7 2020 13 26 -6
Plot the scatterplots and predicted trendlines. Observe the role and effects of SCALE,R Square,slope, p-value. " Normal babies" patient set apgar score d1 apgar score d2 1 1 1.1 2 2 2.2 3 3 3.3 4 4 4.4 5 5 5.5 6 6 6.6 7 7 7.7 8 8 8.8 9 9 9.9
When filling up his car. Nathan noticed that a litre of gasoline currently costs $1.25. However, this time last year, he remembers that it cost only $0.95. Which of the following strategies would be the most effective for measuring the change in the price of gas over the last year? O The Maximin Strategy O Create a Stem and Leaf Plot O Conduct a Hypothesis Test KID Calculate a Simple Index For some questions, you'll need the z-score and t-value tables, so l've linked them here:
Life expectancy in the United States has been rising since the nineteenth century. The table shows the U.S. life expectancy in selected years. Year 1950 1960 1970 1980 1990 2000 Life expectancy at birth 68.2 69.7 70.8 73.7 75.4 77 a. Let t represent the number of years after 1950, and plot the data. Draw a line a best fit for the data points. 80+ 76- 5 10 15 20 25 30 35 40 45 50 Draw: 72+ 64- 60+ 56 52 48- 44 Clear All

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