Q5) An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213–216) describes severalexperiments investigating the rodding of concrete to remove entrapped air. A 3-inch & 6-inchcylinder was used, and the number of times this rod was used is the design variable. Theresulting compressive strength of the concrete specimen is the response. The data shown isposted on BruinLearn Week 2:A. Is there any difference in compressive strength due to the rodding level? Use (α= 0.05).B. Find the P-value for the F statistic in part (a).C. Analyze the residuals from this experiment. What conclusions can you draw about theunderlying model assumptions?D. Construct a graphical display to compare the treatment means as described in your lecturenotes.

C. Analyze the residuals from this experiment. What conclusions can you draw about the underlying…

Answered: Q5) An article in the ACI Materials…

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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D Question 1 10 pts The college newspaper of a large Midwestern university periodically conducts a survey of students on campus to determine the attitude on campus concerning issues of interest. Pictures of the students interviewed along with quotes of their responses are printed in the paper. Students are interviewed by a reporter "roaming" the campus selecting students to interview "haphazardly." On a particular day, the reporter interviews five students and asks them if they feel there is adequate student parking on campus. Four of the students say, "no." Which of the following conditions for inference about a proportion using a confidence interval are violated in this example? 1. The data are an SRS from the population of interest. II. The population is at least ten times as large aş the sample. III. nô 2 10 and n(1 – p) > 10 O All three conditions are violated O Il only O I and III O Il only O I only Next
No Y; X; 1 54 5 2 47 8 41 9. 4 35 9. 28 11 6. 17 12 For the data in the table Yi = 83, 8–5, 2Xi Whether the model has been estimated, answer the following related questions accordingly: A) 62 =? B) var(B2) =? C) p2 =? D) u =? E) se(ßì) =?
Determine the hypothesis using APA format
neauing b) Two candidates X and Y at the B.A (Hons.) examination obtained the following marks in ten papers: Paper 4 6. 10 58 49 76 80 47 72 61 59 77 48 Y 39 38 86 72 75 69 57 49 83 66 Which of the candidate showed the more consistent performance? Which of the candidate has greater absolute dispersion?y761 8. 6.
445 510 553 377 533 542 337 444 Acellular phone company nunlurs monthly phon: uuge. Ihe tollowing data represert the monthly phune ue in minutes of 512 461 538 131 one particular CHsluRr lor the part 20 montlis. Use the gvn data to arewer parts (a) and (h) 552 551 3/2 559 43/ 463 460 (a) Delemie The ktandard deviationi and inletquarile range at the data (Round in tw derimal places us eeded.) IOR (Tipe an hteyer or a decimal b) Suppose the munth in which the customer used 33/ trius nas ul aLlually that cuskomer's phonen That partiular inuth the customer did nnt use their phone at al so l minutes were used Hoe: daes chancirg the cheervatinn from 337 to l affert the standard devialion and interquartile range? What property cos this Ilustrate? The stsndaid cleialion ihe intercutile tange What pmperty dnes this iustrate? Choese the sonect ansner belew O Diepersiun Tmniri-al Rinte
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Using all 1991 birth records in the computerized national birth certificate registry compiled by the National Center for Health Statistics (NCHS), statisticians Traci Clemons and Marcello Pagano found that the birth weights of babies in the United States are not symmetric ("Are babies normal?" The American Statistician, Nov 1999, 53:4). However, they also found that when infants born outside of the "typical" 37-43 weeks and infants born to mothers with a history of diabetes are excluded, the birth weights of the remaining infants do follow a Normal model with mean μ = 3432 g and standard deviation o = 482 g. The following questions refer to infants born from 37 to 43 weeks whose mothers did not have a history of diabetes. Compute the z-score of an infant who weighs 4465 g. (Round your answer to two decimal places.) Approximately what fraction of infants would you expect to have birth weights between 2930 g and 3140 g? (Express your answer as a decimal, not a percent, and round to three…
Using all 1991 birth records in the computerized national birth certificate registry compiled by the National Center for Health Statistics (NCHS), statisticians Traci Clemons and Marcello Pagano found that the birth weights of babies in the United States are not symmetric ("Are babies normal?" The American Statistician, Nov 1999, 53:4). However, they also found that when infants born outside of the "typical" 37-43 weeks and infants born to mothers with a history of diabetes are excluded, the birth weights of the remaining infants do follow a Normal model with mean u = 3432 g and standard deviation o = 482g. The following questions refer to infants born from 37 to 43 weeks whose mothers did not have a history of diabetes. %3D Compute the z-score of an infant who weighs 2536 g. (Round your answer to two decimal places.)
pls help with homework, pls show solutions thanks
b) Two candidates X and Y at the B.A (Hons.) examination obtained the following marks in ten papers: Раper 1 2 3. 4 5 6 7 8 9. 10 58 49 76 80 47 72 61 59 77 48 Y 39 38 86 72 75 69 57 49 83 66 • Which of the candidate showed the more consistent performance? • Which of the candidate has greater absolute dispersion?
Suppose a car is chosen at random. Let x be the weight of the car (in hundreds of pounds), and let y be the miles per gallon (mpg). The following information is based on data taken from Consumer Reports (Vol. 62, No.4) X 27 44 32 47 23 40 34 52 У 30 19 24 13 29 17 21 14 (a) Construct a scatterplot of the miles per gallon (y) versus the weight of the car (x). (b) Compute the correlation coefficient between the weight of the car and the miles per gallon. Given that i = 37.375, sx = 10.0845, ỹ = 20.875, sy = 6.4017 (if you want to use formula %3D provided in our text book) (c) Compute the least-squares regression line for predicting the miles per gallon from the weight of the car. (d) Suppose a car weight 38 hundreds of pounds, predict the value for y which is the miles per gallon.

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