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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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35 % of people i S blood tyre A a) Sippose 250 people mean nd standard deviation of tbis felected from lorge ppiatian rendomly. find biromial distribution of the nomber ot with PEople blood type A. b) Suppose rondonly Use normal appoximaton to fine pobability that CS Stenhechath CkelanScagperA. 250 people selected from a large populaton betveen 70 aned qo Cincluding 70 cnd 99)-
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641 A wallpaper manufacturer performs checks on the quality of the print on rol of wal- paper by sampling rolls and examining them for such printing flaws as discoloration, spots, lines, creases, and imperfect color matching. Rolls are all 56 feet long but come in different widths. Presented on page 278 are the sizes of rolls in square feet and the numbers of imperfections found for each of 25 roll sampled. Statistical Process COmuvI Roll Number of Imperfections Number of Roll Number Size Size Imperfections Number 14 100 7. 100 112 6. 15 126 16 126 112 14 16 100 112 100 10 13 17 6. 18 100 4 33 19 126 126 100 126 112 11 8. 10 112 112 20 15 14 22 112 23 126 7. 6. 11 100 100 112 126 24 112 126 29 25 17 12 17 WALAR 13 (a) Construct a control chart for these data. (b) Is the printing process in a state of statistical control? Why? (c) If the process is not in a state of control, eliminate out-of-control points and recalculate the trial control limits. 123456189eH
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This table shows the number of shirts by sizes manufactured in a factory on a particular week. Extra Small Small Medium Large Extra Large 390 470 520 680 440 a) Using the stratified random sampling technique calculate the number of medium shirts that will be selected if we require a sample of 375 shirts. b) A machine packages shirts in bags with a mean weight of of 3kg. A random sample of 20 bags has a mean weight of 3.05kg with a standard deviation of 0.05kg, From the data given , state the value of a i) Parameter ii) Statistic
23. A variable is described at N(5,9). This indicates normal distribution, with Mean= 5 and Variance = 9. b) a) What are the corresponding Z values for X values of 2 & 5? What is the probability that X is less than 2? What is the probability that X is less than 5? c) C: What is the probability that X is between 2 and 5? e) What is the probability that Z < -1.24? d)
17 - In an exam attended by 1000 people, the average of the grades is 75 and the standard deviation is 5.5, showing a normal distribution. Forty samples of n=25 people were taken from this population for non-refundable draws. How many of these 40 samples averaged in the range of [72-78].a) 37 B) 29 C) 17 D) 40 E) 32
ll T-Mobile Wi-Fi ? 10:02 AM 43% Done 11 of 11 O MaM S F FOJ O O FE O T FOU FOJ + w we G G + a i student.desmos.com/activitybuildaristudant/60773c61d17ealaza45589a4#screenldx=15 E Apps a OCarn Conn Clra Desny sa. O Employment Center a * Login Session Expiraton. b Seling Assasiate. 3 P View Portrait Pro. Signin 6 Nursing: Tradition. Unit 4. Lesson 7: Areas under a Normal Curve Destry Ofoegu 15 of 15 Naxt > A distribution is approximately normal with a mean of 18 and a standard deviation of 4. Match the interval with the approximate percentage of data that falls within that interval. Between 6 and 30 Between 18 and 22 Between 10 and 26 47.5% Less than 10 Belveer 10 a'id 14 16% 34% Between 10and 18 2.5% 99.7% 95% Gresater ihan 22 Belwn 14 eno 22 13.5% CHI %23 - 2 3 4 5 6 7 8. deleta R Y U P D G H J K caps lock return ift C V B N M sh control option command command option !!
We have a dataset with n = 10 pairs of observations (ri, Y;), and Σ 683, ) = 813, > ) TiYi = 56, 089, >v = 66, 731. = 47, 405, What is the mecan squared crror estimate for the variance of the residuals?
The height in inches of 5 randomly selected adult men are given below71, 75, 74, 68, 77 Round your final answers to one decimal place as needed. d)Sample variance is: S2 = ∑(?−?̅)^2/n-1= e)Sample standard deviation is (show work) : f)The coefficient of variation is (Show work):
9. Measurements of the diameters of a random sample of 13 ball bearings made by machine X during one week showed a mean of 8.22 mm and a standard deviation of 0.38 mm. However, other measurements of the diameters of a random sample of 11 ball bearings made by machine Y during the same week showed a mean of 7.68 mm and a standard deviation of 0.42 mm. Assuming the diameters are normally distributed with equal variance, a) Construct a 99% confidence interval for the difference in the true mean diameters of ball bearings made by the two machines. b) Based on your answer in part (a), are you 99% confident that the true mean diameters of ball bearings made by machines X and Y are not equal? Justify your answer.

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