Each of three operators made two weighings of several silicon wafers. Results are presentedin the following table for three of the wafers. All the wafers had weights very close to 54 g.so the weights are reported in units of ug above 54 g. (Based on the article "Revelation of aMicrobalance Warmup Effect," J. Buckner, B. Chin, et al., Statistical Case Studies forIndustrial Process Improvement, SIAM-ASA, 1997:39 45.)Operator 1Operator 21510Operator 314Wafer11102210208205201 208207111113102105 108111Construct an ANOVA table. You may give ranges for the P-values.b. Can it be determined from the ANOVA table whether there is a difference in themeasured weights among the operators? If so, provide the value of the test statistic andthe P-value. If not, explain why not.3.

a). The given information is that the experiment involves the response of two factors (wafer and…

Answered: Each of three operators made two…

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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cONCLUSION: Leaf Area Index (LAI) was found to be independent on soil nitrogen content
a spectrophotometer used for measuring CO concentration [ppm (parts per million) by volume] is checked for accuracy by taking readings on a manufactured gas (called span gas) in which the CO concentration is very precisely controlled at 70 ppm. If the readings suggest that the spectrophotometer is not working properly, it will have to be recalibrated. Assume that if it is properly calibrated, measured concentration for span gas samples is normally distributed. On the basis of the six readings—69, 85, 72, 68, 77, and 82—is calibration needed? Carry out a test of the relevant hypotheses using alpha = .05.
Fiber Density. In the article “Comparison of Fiber Counting by TV Screen and Eyepieces of Phase Contrast Microscopy” (American Industrial Hygiene Association Journal, Vol. 63, pp. 756–761), I. Moa et al. reported on determining fiber density by two different methods. The fiber density of 10 samples with varying fiber density was obtained by using both an eyepiece method and a TV-screen method. A hypothesis test is to be performed to decide whether, on average, the eyepiece method gives a greater fiber density reading than the TV-screen method. a. identify the variable. b. identify the two populations. c. identify the pairs. d. identify the paired-difference variable. e. determine the null and alternative hypotheses. f. classify the hypothesis test as two tailed, left tailed, or right tailed.
1) Below are data of foam indexes for three different espresso makers. Test the hypothesis that foam indexes differ between the three. (Note: these data are highly kurtotic, so normality cannot be assumed.) Set a at 0.05. Which test should you use and why? State the hypothesis, provide the critical value and test statistic and state your conclusions. Hyper-Espresso Method (HIP) I-Espresso System (IT) 56.19 Bar Machine (BM) 36.64 70.84 39.65 46.68 36.67 35.35 40.11 37.74 73.19 35.96 57.78 38.52 48.61 33.52 37.12 37.33 72.77 21.02 24.81 65.04 32.68 48.33 34.18 62.53 23.08 54.26
Can you help me with 5 and 6 please no handwriting
The article “Calibration of an FTIR Spectrometer” (P. Pankratz, Statistical Case Studies for Industrial and Process Improvement, SIAM-ASA, 1997: 19–38) describes the use of a spectrometer to make five measurements of the carbon content (in ppm) of a certain silicon wafer whose true carbon content was known to be 1.1447 ppm. The measurements were 1.0730, 1.0825, 1.0711, 1.0870, and 1.0979. a) Is it possible to estimate the uncertainty in these measurements? If so, estimate it. If not, explain why not. b) Is it possible to estimate the bias in these measurements? If so, estimate it. If not, explain why not.
A process sampled 20 times with a sample of size 8 resulted in = 29.5 and R = 1.4. Compute the upper and lower control limits for the x chart for this process. (Round your answers to two decimal places.) UCL = LCL = Compute the upper and lower control limits for the R chart for this process. (Round your answers to two decimal places.) UCL = LCL =
widely used as dielectrics and coolants in electrical systems in the past. They were found to be a major environmental contaminant in the 1960s. In a study, the mean PCB content at each of thirteen sites was reported for the years 1982 and 1996 (from “The ratio of DDE to PCB concentrations in Great Lakes herring gull eggs and its use in interpreting contaminants data”, Journal of Great Lakes Research 24 (1): 12-31, 1998). The data are below.Site:12345678910111213198261.4864.4745.5059.7058.8175.9671.5738.0630.5139.7029.7866.8963.93199613.9918.2611.2810.0221.0017.3628.207.3012.809.4112.6316.8322.74(a) Which test would be more appropriate in this case: a t-test for the difference between two population means, or a paired t-test? Why?(b) Do the data provide sufficient evidence to support the claim that the mean PCB level has decreased in the region? Be sure to check all assumptions, write the null and alternative hypotheses, calculate the appropriate test statistic, calculate the p-value,…
The following box plot represents a sample of house prices.
7.4 -16 Na,4), NC2,a) pumbility sample With Size lo P[sts cs;]=0.05 what is s?
EXERCISE 1: a) Three measures, carried out with an alcoholmeter, to a men suspected of driving drunken, give: 0.54 - 0.52 - 55 g of alcohol per liter of blood. From these data, the police deduce that he surpasses the maximum limit allowed to drive (0.50 g/L) for a significance level of 0.05, while the driver considers that the result is not significantly different from the limit. Discuss the decision of the police and the argument of the driver, justifying the answer from the pertinent statistical tests. What is the probability of the police to be mistaken (i.e. the probability that the driver does not surpass the limit allowed)? b) To contrast the data, four blood tests of the driver are also done with the results: 0.51 - 0.54 - 0.51 - 52 g of alcohol per liter of blood. The driver argues that the obtained results demonstrate that the alcoholmeter gives values higher than those of the blood test. Is this affirmation statistically right for a=0.05? c) In order to demonstrate that the…
Is there any significant difference among the treatment means (Plot)? Test at alpha = 0.01. i) State the null hypothesis j) State the alternative hypothesis k) F distribution value for Decision rule?

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