In a study of processes used to remove impurities from cellulose goods, the following data resulted from a 24 experiment involving the desizing process. The four factors were enzyme concentration (A), PH (8), temperature (C), and time (0).Starch %by WeightEnzymeTemp.Time1stTreatment (g/L) PH(1)0.506.0(°C) (hr)60.02ndRepl. Repl.69.72 13.50а0.756.060.069.80 14.04b0.507.060.0610.13 11.27ab0.757.060.0611.84 11.30c0.506.070.0612.70 11.37ac0.756.070.0611.96 12.05bc0.507.070.0611.389.92abc0.757.070.0611.80 11.14d0.506.060.0813.15 13.00ad0.756.060.0810.60 12.37bd0.507.060.0810.37 12.00abd0.75 7.0 60.0811.30 11.64cd0.506.0 70.0813.05 14.55acd0.756.0 70.0811.17 15.00bcd0.507.0 70.0abcd0.757.0 70.08812.70 14.1513.2016.12(a) Use Yates's algorithm to obtain sums of squares and the ANOVA table. (Round your answers to two decimal places.)

An experimental design is a way to carefully plan experiments in advance so that the results…

Answered: In a study of processes used to remove…

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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A pet food company is concerned that their pet food must have a certain % of the mineral 2Ine II the food. Too little and dogs get very sick. If the machinery is working correctly, the average zinc is µu = .375 gram/lb of food. They sample 25 bags of food and find: x = .359 grams o = .05 grams The firm wants to know if their pet food is healthy. They decide on a 95% level of significance. Do the Z test. They ask you to perform the analysis. a) State the null and alternative hypotheses. Ho: На: b) Draw a picture/graph of what you are trying to find. c) Find the critical value you will use. d) Compute the test statistic (from the data) e) What do you conclude? Why?
An article reported data from a study in which both a baseline gasoline mixture and a reformulated gasoline were used. Consider the following observations on age (yr) and NO emissions (g/kWh): Engine 1 2 D 3 2 5 7 D 7 10 Age 11 16 9 0 12 4 Baseline 1.74 4.41 4.05 1.29 5.29 0.54 3.40 3.43 0.76 1.22 Reformulated 1.89 5.95 5.57 2.70 6.53 0.76 4.96 4.92 0.72 1.45 LAUSE SALT Construct scatter plots of the baseline NO emissions versus age. GE. 3. 3 2. 7 6 3 NO 4 6 4 0 NO 0 NO₂ . NO₂ 3 4 3 age 15 KE ME Construct scatter plots of the reformulated NO emissions versus age. x NO₂ 6 4 15 NO₂ 6. 3. 4 3 2. 5 0 5 10 5 10 10 15 10 age 15 age 6 3 O NO₂ 6 3 4 0 0 NO₂ 0 5 What appears to be the nature of the relationship between these two variables? O As age increases, emissions also increase. O Asage increases, emissions decrease O There is no compelling relationship between the data. 5 10 5 10 10 15 10 15 15 15 age age age
Suppose you have four classifications: freshmen (f), sophomore (so), junior (j), and senior (se). You construct a dummy variable, one for each classification that takes on the value of (1) should that classification be true for that observation and 0 otherwise. Further assume that you estimate the following model: E[GPA]= .5*ACT+0*So+-0.42*J+{c}*Se How much higher/lower is a Junior's GPA, after controlling for ACT, than for the omitted category?
The following data refers to yield of tomatoes (kg/plot) for four different levels of salinity. Salinity level here refers to electrical conductivity (EC), where the chosen levels were EC = 1.6, 3.8, 6.0, and 10.2 nmhos/cm. (Use i = 1, 2, 3, and 4 respectively.) 1.6: 59.9 53.5 56.7 63.2 58.6 3.8: 55.6 59.6 52.6 54.5 6.0: 51.2 48.6 53.8 48.9 10.2: 44.3 48.4 41.0 47.9 46.5 In USE SALT Use the F test at level a = 0.05 to test for any differences in true average yield due to the different salinity levels. State the appropriate hypotheses. O Ho: H1 = H2 = !3 = H4 H: all four u's are unequal O Ho: H1 = H2 = H3 = H4 H: at least two u's are unequal O Ho: H1 # Hq # Hz# H4 H: all four u's are equal O Ho: H1* H2 * H3# H4 H: at least two u's are equal Calculate the test statistic. (Round your answer to two decimal places.) f = What can be said about the P-value for the test? O P-value > 0.100 O 0.050 < p-value < 0.100 O 0.010 < p-value < 0.050 O 0.001 < P-value < 0.010 O P-value < 0.001
#7
Life-saving drug: Penicillin is produced by the Penicillin fungus, which is grown in a broth whose sugar content must be carefully controlled. Several samples of broth were taken on three successive days, and the amount of dissolved sugars, in milligrams per milliliter, was measured on each sample. The results were as follows. Day 1: 5.2 5.4 5.3 5.1 5.3 5.3 5.6 5.3 5.2 4.9 5.3 Day 2: 5.3 4.8 4.9 5.1 5.3 5.0 5.1 5.4 5.0 4.9 5.3 Day 3: 5.3 5.1 5.1 5.2 5.0 5.3 4.8 5.3 5.0 4.9 5.5 Send data to Excel Part: 0/2 Part 1 of 2 (a) Construct an ANOVA table. Round your answers to four decimal places as needed. One-way ANOVA: Sugar Concentration Source DF MS F Days Error Total
A multivitamin sample was assayed for its Fe content in The analysis produced an average assay of 19.8 The actual Fe content of the sample was known to be exactly 20 ppm Fe. Find the absolute and relative 1. ppm. ppm. errors. 2. The 2 data sets are replicates of pH values of an alkaline solution (set A) and acidic solution (set B). (1) which is more precise? (2) which is more accurate? A) 11.2, 10.7, 10.9, 11.3, 11.5, 10.5, 10.8, 11.1, 11.2, 11.0 (x = 10.7) 5.2, 6.0, 5.2, 5.9, 6.1, 5.5, 5.8, 5.7, 5-7, 6.0 (x = 5.8) B)
find the percentile rank of the pathologic tumor size 2cm tumor size f rel.f cf 4 3 0.25 12 3 2 0.17 9 2 2 0.17 7 1 5 0.42 5 n=15
No tortilla chip aficionado likes soggy chips, so it is important to find characteristics of the production process that produce chips with an appealing texture. The following data on x = frying time (sec) and y = moisture content (%) appeared in an article. x 5 10 15 20 25 30 45 60 y 16.4 9.7 8.1 4.2 3.3 2.8 2.0 1.2 (a) Construct a scatter plot of y versus x. y 15 10- 5 y 15 O 10 10 20 30 40 50 5 10 20 10 NE X 50 60 30 60 40 X 15 y 10 O 5 O y 15 10 20 30 40 50 60 10 20 30 Comment. The plot has a curved pattern. A linear model would not be appropriate. O The plot has a curved pattern. A linear model would be appropriate. O The plot does not have a curved pattern. A linear model would be appropriate. O The plot does not have a curved pattern. A linear model would not be appropriate. 40 50 60 X X
Question 2
et x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small cities in Oregon gave the following information about x and y. x 8.7 9.7 9.8 8.0 8.3 8.7 y 9.8 18.6 20.8 10.2 11.4 13.1 Complete parts (a) through (e), given Σx = 53.2, Σy = 83.9, Σx2 = 474.4, Σy2 = 1280.25, Σxy = 759.71, and r ≈ 0.9303. (a) Draw a scatter diagram displaying the data. (b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to four decimal places.) Σx = Σy = Σx2 = Σy2 = Σxy = r = (c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answer to four decimal places.) x = y = = + x (d) Graph the least-squares line. Be sure to plot the point (x, y) as a point on the line. (e) Find the value of the coefficient of determination r2. What percentage of the variation…
kindly help me with this exercise thank you! Answer only 1and 2

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