A company manufactures printers and fax machines at plants located in Atlanta, Dallas, and Seattle. To measure how much employees at these plants know about quality management, a random sampleof 6 employees was selected from each plant and the employees selected were given a quality awareness examination. The examination scores for these 18 employees are shown in the following table.The sample means, sample variances, and sample standard deviations for each group are also provided. Managers want to use these data to test the hypothesis that the mean examination score is thesame for all three plants.SamplemeanSamplevarianceSamplestandarddeviationPlant 1Atlanta8476817670817825.25.02Plant 2 Plant 3Dallas Seattle7274727470887542.86.546064626876666632.05.66 Set up the ANOVA table for these data. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)SourceSumof Variation of SquaresTreatmentsErrorTotalDegreesof FreedomMeanSquarep-value

Answered: A company manufactures printers and fax…

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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If there are 13 data points in a set of data, what is the number of degrees of freedom?
A manager wishes to build a control chart for a process. A total of five (05) samples are collected with six (06) observations within each sample. The sample means (X-bar) are; 15.36,14.61,16.36,20.28, and 15.77 respectively. Also, the corresponding ranges are; 10.79, 8.37, 4.81, 8.17, and 3.31 respectively. The lower and upper control limits of the R-chart are respectively O a. None is correct O b. 1, 10.5 O c. 0,14.18 O d. 0, 15.25 O e. 0, 14.11
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Can u answer (i) please, Thanks!
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Cite a statistical experiment and its sample space.
As the plant operations manager for Oxford Biotech, you are responsible for monitoring the amount of product placed in each carton. To be consistent with package labeling, cartons should contain a mean of 30 grams of product. Thousands of cartons are produced during a shift, and weighing every single carton was determined to be too time-consuming, costly, and inefficient. Instead, a random sample of cartons is selected. Based on your analysis of the sample, you had to decide whether to maintain, alter, or shut down the process.Using the concept of the sampling distribution of the mean, you are able to determine probabilities that such a sample mean could have been randomly selected from a population with mean of 30 grams. Specifically, if a sample size of n = 20 is selected from a population with mean of 30 grams and standard deviation of 0.60, you calculate the probability of selecting a sample with a mean of 29.85 grams or less to be ____.

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