Life-saving drug: Penicillin is produced by the Penicillin fungus, which is grown in a broth whose sugar content must be carefullycontrolled. Several samples of broth were taken on three successive days, and the amount of dissolved sugars, in milligrams permilliliter, was measured on each sample. The results were as follows.Day 1: 5.2 5.4 5.3 5.15.3 5.35.6 5.3 5.24.9 5.3Day 2:5.34.8 4.9 5.15.3 5.0 5.15.4 5.0 4.9 5.3Day 3: 5.3 5.15.15.2 5.0 5.3 4.85.3 5.04.95.5Send data to ExcelPart: 0/2Part 1 of 2(a) Construct an ANOVA table. Round your answers to four decimal places as needed.One-way ANOVA: Sugar ConcentrationSourceDFMSFDaysErrorTotal

Name: Life-saving drug: Penicillin is produced by the Penicillin fungus, wh
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Description: Life-saving drug: Penicillin is produced by the Penicillin fungus, which is grown in a broth whose sugar content must be carefullycontrolled. Several samples of broth were taken on three successive days, and the amount of dissolved sugars, in millig

Solution: from the given data Between Groups Degrees of Freedom: DF = k − 1 , where k is the number…

Answered: measured on each sample. The resul 1:…

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measured on each sample. The resul 1: 5.2 5.4 5.3 5.1 5.6 5. 5.3 5.3 4.9 5.3 2: 5.3 4.8 4.9 5.1 5.3 5. 5.4 5.0 4.9 5.3 3: 5.3 5.1 5.1 5.2 5.0 5. 5.3 5.0 4.9 5.5 ata to Excel

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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he home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages. 1.6 2.4 1.2 6.6 2.3 0.0 1.8 2.5 6.5 1.8 2.7 2.0 1.9 1.3 2.7 1.7 1.3 2.1 2.8 1.4 3.8 2.1 3.4 1.3 1.5 2.9 2.6 0.0 4.1 2.9 1.9 2.4 0.0 1.8 3.1 3.8 3.2 1.6 4.2 0.0 1.2 1.8 2.4 (a) Use a calculator with mean and standard deviation keys to find and s (in percentages). (For each answer, enter a number. Round your answers to two decimal places.) = x bar =____________ %s =___________________ % (b) Compute a 90% confidence interval (in percentages) for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (For each answer, enter a number. Round your answers to two decimal places.)lower limit ____________ %upper limit ____________ % (c) Compute a 99% confidence…
Find the percentile corresponding to 4.0.
sed on data from WHO, a representative sample of 11-year-old males could consist of the following 15 values. 15.7, 16.0, 13.9, 15.3, 18.6, 14.8, 17.7, 16.6, 18.1, 19.2, 16.3, 17.3, 16.9, 25.6, 20.4 using the data calculate the 85th per
Find the sample standard deviation. Round to the nearest tenth as needed. 9, 5, 16, 5, 15, 10, 9, 17, 19 A. 5.2 B. 27.3 OC. 24.2 D. 4.9
Here is a sample data set. DO THIS BY HAND, WITHOUT USING TECHNOLOGY. 334.9 337.5 340.2 352.8 356.2 356.3 360.3 361.4 363.9 366.6 367.9 369.7 371.4 371.4 371.4 371.5 371.8 372.3 373.4 373.5 375.5 375.9 378.9 379 380.3 380.3 381.3 381.3 384.9 387.4 388.7 389 392.1 393.3 393.7 394.6 394.6 396.6 397.4 397.5 397.5 397.5 400.1 406.1 420.2 429.1 429.5 430 432 441.2 445 445.9 447.3 449.7 Find the first quartile for this data set.Q1 = Find the third quartile for this data set.Q3 = Find the interquartile range for this data set. IQR = Q3 - Q1IQR =
Here is a sample data set. 400 404.8 409.1 409.5 413.1 413.8 418.5 424.7 428.9 432.3 436.1 437.5 440 440 440 441.1 442.4 444.3 445.6 446.1 448 448.8 449.7 450.9 451 453.2 462.3 462.3 462.7 463.6 464.2 465.5 466.7 466.7 467.2 467.7 470.3 472.3 472.6 473.3 473.3 473.3 478.7 479.1 479.3 480.8 485.1 486 490.4 493.1 495.2 496 501.7 506.6 5 10 15 20 25 length (cm) 400 450 500 550 Frequency [Graphs generated by this script: setBorder(54,40,20,15); initPicture(355,550,0,29);axes(1013.2,5,1,null,5); fill="blue"; stroke="black"; textabs([165,0],"length (cm)","above");line([400,-0.58],[400,0.58]); text([400,0],"400","below");line([450,-0.58],[450,0.58]); text([450,0],"450","below");line([500,-0.58],[500,0.58]); text([500,0],"500","below");line([550,-0.58],[550,0.58]); text([550,0],"550","below");textabs([0,115],"Frequency","right",90);rect([400,0],[450,23]);rect([450,0],[500,29]);rect([500,0],[550,2]);] Find the first quartile for this data set. Q1 = 440 Correct Find the third quartile for…
Here is a sample data set. 278.2 282.5 311.5 311.6 320.4 322.9 352.3 367.4 375.7 390.8 395.8 411.7 412.9 412.9 412.9 418.6 419 420.6 423.1 425.2 426.9 429.1 429.6 433.5 434.3 434.8 435.4 435.4 436.2 444 451.7 453 456.5 464.1 473.2 476.1 478.2 489.2 497 502.7 502.7 502.7 513.5 517.9 522.2 566.6 568.3 576.1 577.1 580.8 604.5 618.9 621.6 628.4 24681012141618length (cm)250300350400450500550600650Frequency[Graphs generated by this script: setBorder(54,40,20,15); initPicture(205,650,0,19);axes(1256.8,2,1,null,2); fill="blue"; textabs([165,0],"length (cm)","above");line([250,-0.38],[250,0.38]); text([250,0],"250","below");line([300,-0.38],[300,0.38]); text([300,0],"300","below");line([350,-0.38],[350,0.38]); text([350,0],"350","below");line([400,-0.38],[400,0.38]); text([400,0],"400","below");line([450,-0.38],[450,0.38]); text([450,0],"450","below");line([500,-0.38],[500,0.38]); text([500,0],"500","below");line([550,-0.38],[550,0.38]);…
Here is a sample data set. 254.2 338.4 218.7 271.8 403.4 339.5 403.6 393.5 339.2 438 362.3 455 404.9 356.3 267.2 367.7 387.7 352.2 397.7 358.5 288.8 411 372.8 357.4 344.7 410.3 446.2 289.1 367.7 453 404.9 349 420.2 255.4 404.5 284.4 310 363 338.4 338.4 443.8 260.5 472.4 356.6 285.3 439.1 403.8 478.1 432 376.8 388.8 389.3 322.5 404.9 Find the first quartile for this data set. Q1 Find the third quartile for this data set. Q3 = Find the interquartile range for this data set. IQR =
Here is a sample data set. Frequency 153.1 201.4 209.3 221.3 225.4 228.8 232.8 278.7 282.5 282.6 283.4 290.6 342.9 342.9 342.9 345.2 349.2 358.4 362.8 370.5 379.8 387.9 390.7 403.9 404.3 427.9 434.9 434.9 441.2 443 445 449.4 450.6 460.4 468.5 469.4 480.6 482 489.6 515.6 484.8 488.9 488.9 488.9 525.7 526.5 537.1 537.9 614.3 685.1 739.2 751.7 557.6 599.9 10 8 6 4 2 15000500050005608500050005000 length (cm) Find the first quartile for this data set. Q₁ = Find the third quartile for this data set. Q3= = Find the interquartile range for this data set. IQR = Find the lower fence separating outliers from usual values. Fence low = Find the upper fence separating outliers from usual values. Fence high
Consider sample data with x = 39 and s = 4.Compute the coefficient of variation. Round to two decimal places. ?%
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