Biopolymer BaseCellulosefiber based membranesGlycerol-plasticized agaroseNatural sesbania gumChitosan nanofiber paperTailoring silk fibroinMesoporous Cladophora cellulosecross-linked fiber membranespolyether block amide microporous membranesPlant based celluloseAverage Pore Size (nm)0.09 μm2 μm0.21*0.05 μm100 μm10 μm250 μm20 μm1.17 µmPorosityTotal Porosity (%)62 ± 3396580,67469.565Electrolyte Uptake (%) Processing Method20028135016.5180TEMPO-oxidized and vacuum filtrationPapermakingSolvent CastingSolvent CastingPapermakingSolvent CastingSolution CastingPhase Inversionnon-solvent induced phase separating (NIPS)Papermaking

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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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6:16 @ * | 11%自 MGF2106Project5Q.pdf 10 ft -------------------------------------- 6 10 ft 4 ft 30 ft 5ft 15 ft 14 ft 15 f 18 ft 2 10 ft 10 ft --8 ft-- 12 ft 6 ft The windows and doors have the following dimensions. Garage Door: 10 ft by 7 ft Front Door: 80 inches by 36 inches Window 1: 24 inches by 30 inches Windows 2 and 4: 30 inches by 36 inches Window 3: 12 inches by 20 inches Windows 5 and 6: 36 inches by 20 inches It may not look like it in the picture but the paint on the front of the house needs a little maintenance. You found a handyman that will charge you $9 per square foot to paint the front of the house (the uncolored regions of the diagram). So that you can plan your finances to pay for the work, you try to estimate the square footage of the painted regions on the front of the house. Part 3 Exercises: (Round the answers to 2 decimal places as needed.) 1. Find the area in square feet of the front door and all of the windows. 2. Find the area, in square feet, of the painted…
Exercise 1. Suppose that X ~ N(7, 2.25). Data x is an observed IID sample of size n = 500 from the distribution of X. That is, the IID Data Model is: x + X, where X - IID(500) X IID(500) N(7,2.25). (a) Give a rough sketch of your guess at the density histogram of data x, including labeled tick marks on the horizontal axis. Explain why you expect the density histogram of the data x to look this way. (b) The sample mean x and the sample variance s2 of these 500 data values were computed. What would you guess their values are and why? (c) How many (give a count, not a percentage) of the 500 data values in x would you guess are less than 6? Explain why you believe your guess should be reasonable.
SAMPLE NAME pH EC DATE SAMPLED Effluent 1 7.1 80 27/02/2020 Effluent 2 5.1 410 27/02/2020 Effluent 3 5.0 1400 27/02/2020 Effluent 1 7.0 80 25/01/2020 Effluent 2 6.5 730 25/01/2020 Effluent 3 7.1 800 25/01/2020 Effluent 1 7.2 400 24/12/2019 Effluent 2 6.9 700 24/12/2019 Effluent 3 7.2 790 24/12/2019 Effluent 1 7.1 250 23/11/2019 Effluent 2 6.8 750 23/11/2019 Effluent 3 7.0 800 23/11/2019 Effluent 1 7.0 350 25/10/2019 Effluent 2 6.9 810 25/10/2019 Effluent 3 7.1 810 25/10/2019 Effluent 1 7.0 750 28/09/2019 Effluent 2 7.0 350 28/09/2019 Effluent 3 7.0 770 28/09/2019 Effluent 1 7.0 750 25/08/2019 Effluent 2 7.0 350 25/08/2019 Effluent 3 7.0 750 25/08/2019 Effluent 1 7.0 350 27/07/2019 Effluent 2 7.1 680 27/07/2019 Effluent 3 6.8 760 27/07/2019 Effluent 1 7.2 400 27/06/2019 Effluent 2 6.8 650 27/06/2019 Effluent 3 6.7 760 27/06/2019 Effluent 1 7.0 350 26/05/2019 Effluent 2 6.9 750 26/05/2019 Effluent 3 7.0 770 26/05/2019 Effluent…
Dependent Variable: Plant Growth Source Corrected Model Intercept Watering frequency Sunlight Watering frequency * Sunlight Tests of Between-Subjects Effects Error Total Type III Sum of Squares 13.921 250.260 1.550 2.870 9.500 df 11.068 275.250 Corrected Total 24.990 a. R Squared= .557 (Adjusted R Squared= .491) 3 1 1 1 1 20 24 23 Mean Square 4.640 250.260 1.550 2.870 9.500 ,553 F 8.385 452,210 2.802 5.187 17.167 SPSS output reads that the p-value for the main effect of sunlight is [ Select] , meaning that the null hypothesis is [Select] .000 .110 .034 .001 Sig. .001 .000 110 .034 .001
Find the critical values y6 and x- for the giveh tonfidence level c and sample size n. c= 0.98, n = 19 X=(Round to three decimal places as needed.) x%3D(Round to three decimal places as needed.) Type here to search
What can you conclude? show step by step procedure using BOTH p-value and critical region Explain solution in the most simple practical terms The carbon monoxide (CO) level in a manufacturing plant is supposed to be about 50 parts per million (ppm). However the actual CO levels are quite variable. Five CO measurements are taken at various times during the day: 58 63 48 52 68 a. Test if the CO levels are equal to 50ppm vs not equal to 50ppm
Step 1 (what is it) _ H;: H: Step 2 (what is it): Critical region: Step 3 (what is it): s? = SM obt step 4 (what is it) do we reject or fail to reject ? calculate cohens D what are the results in APA format ? A researcher predicts that a new pain medication will increase levels of flexibility in patients. Thirty- one chronic pain patients are recruited and each is given the normal dose of the medicine. Twenty-four hours later, each patient's activity level of flexibility is measured. The scores for the sample averaged M = 5.2 with SS = 170 after treatment. Assuming that flexibility levels in the chronic pain population averages µ = 4.5, is the data sufficient to conclude that the medication significantly increased flexibility? Use a one-tailed test and a .01 level of significance. If applicable, find Cohen's d. State the hypotheses in symbols, and show step by step for the standard error and obtained statistic!
To investigate the question of whether the tensile strength of two materials A and B is different, samples of these materials were taken and their tensile strength determined. The following values were found inN /mm? A. 342 348 350 349 353 356 344 353 347 358 B. 358 349 353 366 373 370 373 356 369 373 Has the materials Ba very significantly higher tensile strength? Name of the test procedure: O Wilcoxon test with NV approximation Ou-test with NV approximation Ot-test for dependent samples O Welch test Ot-test for independent samples with homogeneous variances Level of significance a: O 0.5 O 0.05 O 0.1 O 0.01 O 0.001 Sensible alternative:
Problem solving template n = df1 + df2 M1= M2= μ1-μ2 = 0 SS1 + SS2= s2p = S(M1-M2) = 1. State the hypothesis s and select alpha (consider one tailed or two tailed) Sate hypothesis in words: Null stated in words: Alternative stated in words: State hypothesis in symbols: Hₒ: State alternative in symbols: H(square): 2. Locate critical region for stated alpha When people learn a new task, their performance usually improves when they are tested the next day, but only if they get 6 hours sleep (Sticckgold, et al., 2000). The following data demonstrate this phenomenon. The participants learned a visual discrimination task on one day. Half of the participants were allowed to have at least 6 hours of sleep and the other half were kept awake all night. 6 hours sleep No sleep n =14 n = 14…
ep%3D28174037&elSBN=9781337713184 An economist is studying the job market in Denver area neighborhoods. Let x represent the total number of jobs in a given neighborhood, and let y represent the number of entry-level jobs in the same neighborhood. A sample of six Denver neighborhoods gave the following information (units in hundreds of jobs). 17 30 52 28 50 25 9. 3 n USE SALT Complete parts (a) through (e), given Ex = 202, Ey = 29, Ex = 7802, Ey = 177, Exy = 1153, and r 0.9199. %3D %3D (a) Draw a scatter diagram displaying the data. 20 25 30 35 40 45 50 25 30 35 40 45 50 X (total number of jobs (in hundreds)) x (total number of jobs (in hundreds)) 50 50 45 45 40 40 35 35 30 30 25 imber of entry-level jobs (in hundreds)) y (number of entry-level jobs (in hundreds)) 20 25 number of entry-level jobs (in hundreds)) y (number of entry-level jobs (in hundreds)) 20 20
unniesNormality x 6 PainNormalitylnfc x O PenniesNormality X y gogge docs - Yah x E Untitled documer x 200405%20(1).pdf 100% Pennies (n=800) Output Options Summary statistics: Column n Mean Std. dev. Median Range Min Max Q1 Q3 IQR Skewness Kurtosis Mode Year 800 1989.8475 12.439561 1991 63 1948 2011 1981 2000 19 -0.39373882 -0.48524393 2000 Nermal Me- M

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