At a factory, certain metal components are manufactured on two different machines (A and B). Thequality control manager suspects that machine B produces components that are stronger and moredurable than those produced by machine A. To test this, he randomly selects twelve components fromeach machine. The components are put through a wear-testing machine and the amount of wear (in mm)is recorded1. a. H1: Pd < 0b. H1: Hd >0c. H1: HA < HBd. H1: PA > HBe. H1: HA # HBThe p-value of this test is equal to 0.064. Based on the p-value, indicate the strength of the evidence in favour of the alternative hypothesis.2.O a. Very strong evidenceOb. Strong evidenceO . Moderate evidenceO d. Weak/no evidence

Answered: At a factory, certain metal components…

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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Show All Work: In a sample of 350 respondents who identify as either a case manager or a clinician, case managers account for two-thirds of all observations in the sample. What is the total number of clinicians in the sample?
(Please solve all part and do not give solution in image format thanku)
In a certain suburb of Montréal, residents have expressed their worries about the quality of the air. Of particular concern is the concentration (in μg/m3) of particulate matter smaller than 2.5 μm in size (PM2.5). The environmental standard is a PM2.5 concentration of 15 μg/m3 or less. Part A: To conduct this study, Thomas installs 25 PM2.5 detectors at different locations in the suburban area. Each detector will provide one reading of PM2.5 concentration at a given time. With 25 detectors, what is the probability that Thomas declares the sample mean of PM2.5 concentrations significantly greater than the environmental standard while the population means is 16 μg/m3? The population variance is assumed to be known and equal to 9. Use α = 0.01. Part 2: Thomas is interested to purchase a new and cheaper instrument to measure PM2.5 concentration. He is worried, however, that the precision of the new instrument may be lower than that of the current one. To be acceptable, the standard…
A new industrial oven has just been installed at the Piatt Bakery. To develop experience regarding the oven temperature, an inspector reads the temperature at four different places inside the oven each half hour. 8:00 am 340 350 355 339 9:00 am 344 342 338 340 10:00 am 341 345 347350 Lower and upper specifications are 333.1 and 350.42, respectively. Use the R-bar and X-barbar to determine the process capability. Cp and Cpk are, respectively: O a. 0.36 and 0.45 O b. 0.41 and 0.58 O c. 0.58 and 0.41 O d. 0.45 and 0.36 O e. None of them
The authors of a paper compared two different instruments for measuring a person's capacity for breathing out air. (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen people participated in the study, and for each person air flow was measured once using the Wright meter and once using the mini-Wright meter. The Wright meter is thought to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. Use of the mini-Wright meter could be recommended as long as there is not convincing evidence that the mean reading for the mini-Wright meter is different from the mean reading for Wright meter. For purposes of this exercise, you can assume that it is reasonable to consider the 17 people who participated in this study as representative of the population of interest. Data values from this paper are given in the accompanying table.…
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Scientists have discovered a new bird species; however, they only found 15 birds of such species. They measured the height (in cm) of these 10 birds:12.94, 5.80, 15.47, 14.14, 7.48, 9.21, 9.79, 8.86, 17.75, 10.39. I entered the data into R as shown below: bird <- c(12.94, 5.80, 15.47, 14.14, 7.48, 9.21, 9.79, 8.86, 17.75, 10.39) Treat this data as population data. Which of the following R code computes the variance of the height of the birds? A. var(bird) B. sum((bird - mean(bird))^2)/length(bird) C. mean((bird - mean(bird))^2) D. sum((bird - mean(bird))^2)/9 E. B and C F. A and D G. B and D H. A and C
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For each of the questions 1-4, answer the following (a-h are steps in a Hypothesis Test, see page 376 of your ebook). For steps f and g do both the p-value method and the critical value method: a) Claim in English: b) Claim in Symbolic Form: c) Null and Alternate Hypothesis: d) Significance Level: e) Test Statistic: f) Find Values: g) Make a Decision: h) Restate the Decision in Nontechnical Terms: i) If this is a statistically significant result, is it also a practically significant result?
An article published by the American Meteorological Society, gives a rating system used to classify Nor'easter storms that frequently hit New England which often cause havoc near the ocean. A severe storm has an average peak wave height of μ=16.4μ feet for waves near the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land off piers. Suppose that a reading of 32 waves showed an average wave height of x¯=14.3 feet. Previous reports of severe storms indicate that σ=3.5 feet. Does this information suggest that the storm is decreasing below the severe rating? Use α=0.01 to test the claim.What is the level of significance? State the null and alternate hypotheses. H0:H0:? p σ μ χ Select an answer < = ≠ > H1:H1:? μ p χ σ Select an answer ≠ > = <
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The operations manager of a plant that manufactures tires wants to compare the actual inner diameters of two grades of tires, each of which is expected to be 575 millimeters. Samples of five tires from each grade were selected, and the results representing the inner diameters of the tires, ranked from smallest to largest, are shown below. Complete parts (a) through (c) below. Grade X Grade Y Q 567 573 577 581 584 570 574 577 579 583 a. For each of the two grades of tires, compute the mean, median, and standard deviation. The mean for Grade X is mm. (Type an integer or a decimal.) C

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