3. A manufacturer of paper used for making grocery bags is interested in improving the tensilestrength of the product. Product engineering thinks that tensile strength is a function of thehardwood concentration in the pulp and that the range of hardwood concentrations of practi-cal interest is between 5 and 20%. A team of engineers responsible for the study decides to in-vestigate four levels of hardwood concentration: 5%, 10%, 15%, and 20%. They decide tomake up six test specimens at each concentration level, using a pilot plant. All 24 specimensare tested on a laboratory tensile tester, in random order. The data from this experiment areshown in TableConstruct ANOVA table to determine whether hardwood concentration is asignificant factor or not at a=0.05?Tensile Strength of Paper (psi)HardwoodObservationsConcentration (%)13 4565781511910101217131819151514181917161820192522231820

There are 4 independent samples which are 4 types of hardwood concentrations. We have to test…

Answered: 3. A manufacturer of paper used for…

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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Wrinkle recovery angle and tensile strength are the two most important characteristics for evaluating the performance of crosslinked cotton fabric. An increase in the degree of crosslinking, as determined by ester carboxyl band absorbance, improves the wrinkle resistance of the fabric (at the expense of reducing mechanical strength). The accompanying data on x = absorbance and y = wrinkle resistance angle was read from a graph in the paper "Predicting the Performance of Durable Press Finished Cotton Fabric with Infrared Spectroscopy".t x 0.115 0.126 0.183 0.246 0.282 0.344 0.355 0.452 0.491 0.554 0.651 y 334 342 355 363 365 372 381 400 392 412 420 Here is regression output from Minitab: Predictor Constant absorb S = 3.60498 Coef 321.878 156.711 SOURCE Regression Residual Error Total R-Sq= 98.5% DF SE Coef 2.483 6.464 1 9 10 SS 7639.0 117.0 7756..0 T 129.64 24.24 P 0.000 0.000. R-Sq (adj) 98.3% MS 7639.0 13.0 F 587.81 (a) Does the simple linear regression model appear to be appropriate?…
Wrinkle recovery angle and tensile strength are the two most important characteristics for evaluating the performance of crosslinked cotton fabric. An increase in the degree of crosslinking, as determined by ester carboxyl band absorbance, improves the wrinkle resistance of the fabric (at the expense of reducing mechanical strength). The accompanying data on x = absorbance and y = wrinkle resistance angle was read from a graph in the paper "Predicting the Performance of Durable Press Finished Cotton Fabric with Infrared Spectroscopy".t 半 0.115 0.126 0.183 0.246 0.282 0.344 0.355 0.452 0.491 0.554 0.651 334 342 355 363 365 372 381 392 400 412 420 Here is regression output from Minitab: Predictor Coef SE Coef P Constant 321.878 2.483 129.64 0.000 absorb 156.711 6.464 24.24 0.000 S = 3.60498 R-Sq = 98.5% R-Są (adj) - 98.3% SOURCE DF MS F P Regression 1 7639.0 7639.0 587.81 0.000 Residual Error 9 117.0 13.0 Total 10 7756.0 (a) Does the simple linear regression model appear to be…
Wrinkle recovery angle and tensile strength are the two most important characteristics for evaluating the performance of crosslinked cotton fabric. An increase in the degree of crosslinking, as determined by ester carboxyl band absorbance, improves the wrinkle resistance of the fabric (at the expense of reducing mechanical strength). The accompanying data on x = absorbance and y = wrinkle resistance angle was read from a graph in the paper "Predicting the Performance of Durable Press Finished Cotton Fabric with Infrared Spectroscopy".† x 0.115 0.126 0.183 0.246 0.282 0.344 0.355 0.452 0.491 0.554 0.651 y 334 342 355 363 365 372 381 392 400 412 420 Here is regression output from Minitab: Predictor Constant absorb S = 3.60498 Coef 321.878 156.711 SOURCE Regression Residual Error Total SE Coef 2.483 6.464 R-Sq = 98.5% DF 1 9 10 SS 7639.0 117.0 7756.0 T 129.64 24.24 0.000 0.000 R-Sq (adj) = 98.3% MS 7639.0 13.0 F P 587.81 (a) Does the simple linear regression model appear to be…
Solids (grams) obtained from a material as y, with respect to drying time (Hours) as x. Ten experiments were carried out to obtain the following observations: Table on the picture (a) Create a scatter diagram for the data. (b) Estimated regression model according to the data conditions. (c) Calculate Model Accuracy (R²) and Relationship Between Variables (r²)
Use Linear, Quaratic and Cubic interpolations to solve the question.
36
Wilcoxon ranked test
PLE collects a variety of data from special studies, many of which are related to the quality of its products. The company collects data about functional test performance of its mowers after assembly; results from the past 30 days are given in the worksheet Mower Test. In addition, many in-process measurements are taken to ensure that manufacturing processes remain in control and can produce according to design specifications. The worksheet Blade Weight shows 350 measurements of blade weights taken from the manufacturing process that produces mower blades during the most recent shift. Elizabeth Burke has asked you to study these data from an analytics perspective. Drawing upon your experience, you have developed a number of questions: For the mower test data, what distribution might be appropriate to model the failure of an individual mower? What fraction of mowers fails the functional performance test using all the mower test data? What is the probability of having x failures in the…
5
In an experiment to measure the stiffiness of a spring, the length of the spring under different loads as measured as follows: X=loads Y= length 3 10 5 12 15 9 18 10 20 12 22 15 27 20 30 22 32 28 34 I. Find the regression equations appropriate for predicting: a) The length, given the weight on the spring b) The weight, given the length of the spring II. The standard errors of the estimates III. Coefficient of determinations
The Pilot Pen Company has decided to use 15 test markets to examine the sensitivity of demand for its new product to various prices, as shown in the following table. Advertising effort was identical in each market. Each market had approximately the same level of business activity and population.a. Using a linear regression model, estimate the demand function for Pilot’s new pen.b. Evaluate this model by computing the coefficient of determination and by performing a t-test of the significance of the price variable.c. What is the price elasticity of demand at a price of 50 cents? TEST MARKET PRICE CHARGED (¢) QUANTITY SOLD(THOUSANDS OF PENS) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 50 50 55 55 60 60 65 65 70 70¢ 80 80 90¢ 90 40 20.0 21.0 19.0 19.5 20.5 19.0 16.0 15.0 14.5 15.5 13.0 14.0 11.5 11.0 17.0
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