The engineering department at a steel mill is studying the tensile strength of a particular grade of steel when fabricatéd at variouspressures (Factor A) and temperatures (Factor B). The accompanying ANOVA table shows a portion of the results from conducting atwo-way ANOVA test with interaction. Assume that tensile strength is normally distributed.a-1. Construct an ANOVA table. (Round "SS" to 2 decimal places, "MS to 4 decimal places and "F to 3 decimal places.)ANOVASource of VariationMSp-valueSample (B, temperature)Columns (A, pressure)150.22150.22005.7630.034124.12262.06002.3770.135InteractionWithinTotal24.11212.05500.4620.641313.331226.1108611.7617a-2. How many levels did pressure have?Number of levelsb. How many observations were run for each combination of pressure-temperature settings?Number of observations

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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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Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. Identify the test statistic and p-value. Right arm Left arm 144 167 OA.T-3.07, p-value = 0.037 OB. T = -2.32, p-value = 0.081 OC. T = -1.93, p-value = 0.127 OD. T = -4.01, p-value = 0.016 133 161 132 179 138 145 136 144
Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Height (inches) 75 62 64 63 62 70 69 70 67 Weight (lbs) 325 250 280 220 235 265 200 365 175 (CLO 2) Test a claim that the mean height of people you know is not equal to 64 inches using the p-value method or the traditional method. State H0 and H1. Find the p-value or critical value(s). Draw a conclusion. (CLO 3) Find the correlation coefficient between height and weight. Construct the equation of the regression line and use it to predict the weight of a person who is 68 inches tall.
Positive autocorrelation in control charts has which of the following characteristics? A. Is observed when large values follow large values B. Can cause high false-negative rates for special cause variation C. Is seen when large values follow small values D. Is a rare occurrence with measurements of a same patient or provider over time
Meredith Grey has asked every surgeon at Grey-Sloan Memorial Hospital the following question: "How many surgeries have you scrubbed in on in the past 30 days?" The results are shown below. Number of surgeries 30 40 50 50 90 55 70 70 85 55 70 85 85 55 65 80 60 85 70 80 75 85 135 90 80 85 95 50 75 75 Find the following measures of center. Mean = Median = Mode =
thill An experiment compares two different processes for producing steel plate. The measurements represent the thickness of the plate. The samples gave m = 8, X = 6.701, S1 = 0.108 n = 6, Y = 6.841, S2 = 0.155 %3D %3D Assume that the two populations are normal with equal variances, test Ho: H1 - H2 = 0 against H1 : µ1 - µ2#0 at a 0.05 significance level. 5.
f.
Please help with the areas marked with an X To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 19 29 16 25 27 15 23 32 19 21 28 18 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use . Sum of Squares, Treatment X Sum of Squares, Error X Mean Squares, Treatment X Mean Squares, Error X Compute the values below (to decimals, if necessary). Calculate the value of the test statistic (to decimals)_______x_________. b. At the level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers and . Calculate Fisher's LSD Value (to decimals)______X______
Suppose a biologist is studying the population of fish in freshwater lakes. He collects data on the number of different species of fish found in 20 lakes. The boxplot displays the results of the study with species of fish in intervals of 50. 100 150 200 250 300 350 400 450 500 550 600 Number of species of fish What is the value of the upper quartile for the data set. Round values to the nearest 25 species.

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