The article "Efficient Pyruvate Production by a Multi-Vitamin Auxotroph of Torulopsisglabrata: Key Role and Optimization of Vitamin Levels" (Y. Li, J. Chen, et al., AppliedMicrobiology and Biotechnology, 2001:680-685) investigates the effects of the levels ofseveral vitamins in a cell culture on the yield (in g/L) of pyruvate, a useful organic acid. Thedata in the following table are presented as two replicates of a 23 design. The factors are A:nicotinic acid, B: thiamine, and C: biotin. (Two statistically insignificant factors have beendropped. In the article, each factor was tested at four levels; we have collapsed these totwo.)вMean YieldYields0.55, 0.49A.-1-1-10.520-1-10.60, 0.420.37, 0.280.30, 0.280.54, 0.540.54, 0.470.44, 0.330.36, 0.200.5100.3250.290-1-1-1-1-11.0.540-10.505-10.3850.280Compute estimates of the main effects and interactions, and the sum of squares and P-value for each.a.b.Is the additive model appropriate?C.What conclusions about the factors can be drawn from these results?

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Answered: The article "Efficient Pyruvate…

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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Q16
In a study of schiozophrenia, researchers measured the activity of the enzyme monoamine oxidase (MAO) in the blood platelets of 18 patients. The results (expressed as nmoles benzylaldehyde product per 108 platelets) were as follows: 6.8 8.4 8.7 11.9 14.2 19.3 9.9 4.1 9.7 12.7 5.2 7.8 7.8 7.4 7.3 10.6 15.5 10.7
Consider a single variable model to estimate the effect of in-person lecture attendance on university students' WAMs (weighted average marks): (C1) WAM = β0 + β1Attend + u Where: WAMis a student's weight average mark Attendis the proportion of lectures attended by a student in an academic year Using the information above, answer the following 3 questions. [i] Explain why Attend might be endogenous in Model (C1). What does this suggest about E [u ∣ Attend]? [ii] Suppose that student attendance is related to a student's conscientiousness. Does this mean that conscientiousness would be a good instrumental variable for Attend? Why or why not? Explain your reasoning. [iii] Unfortunately a major strike by railway works disrupts transport links to 3 of the 7 universities in a city for a period of 2 weeks. This temporarily means that students who are enrolled at those 3 affected universities cannot attend lectures in person. Carefully explain how you would use this information to…
Consider a simple OLS model that regresses college GPA (gpa) on high school GPA (hsgpa) and parental income (pincome, in $1000 per month). gpa = B1 + B₂hsgpa + B3pincome + e. Empirical estimation using observations generates the following STATA output. Source Model Residual Total gpa hsgpa pincome _cons SS 1273.27041 671.879965 Coef. df Std. Err. .6866603 .0103571 .3033177 .0066108 -.6697239 .0358777 O [0.290360532, 0.316274868] O [0.2967069, 0.3099285] O [0.292442934, 0.314185466] O [-0.012957168, 0.012957168] MS t Construct the 95% confidence interval for parental income. Number of obs F(2, 3997) Prob > F R-squared Adj R-squared Root MSE P>|t| = = = = 4,000 [95% Conf. Interval]
A cohort study is conducted to assess the association between clinical characteristics and the risk of stroke. The study involves n=1,250 participants who are free of stroke at the study start. Each participant is assessed at study start (baseline) and every year thereafter for five years. The following table displays data on hypertensive status measured at baseline and incident stroke over 5 years. Free of Stroke over 5 Years Stroke Baseline: Not Hypertensive 952 46 Baseline: Hypertensive 234 18 Compute the cumulative incidence of stroke in the study.
A researcher decides to lower the alpha level that determines the critical region(s) prior to conducting a hypothesis test. This will increase the power of the hypothesis test. True or False?
11-41/446 An article in The Journal of Clinical Endocrinology and Metabolism ["Simultaneous and Continuous 24-Hour Plasma and Cerebrospinal Fluid Leptin Measurements: Dissociation of Concentrations in Central and Peripheral Compartments" (2004, Vol. 89, pp. 258-265)] reported on a study of the demographics of simultaneous and continuous 24-hour plasma and cerebrospinal fluid leptin measurements. The data follow: y = BMI (kg/m2): 19.92, 20.59, 29.02, 20.78, 25.97, 20.39, 23.29, 17.27, 35.24 x = Age (yr): 45.5, 34.6, 40.6, 32.9, 28.2, 30.1, 52.1, 33.3, 47.0 11-41/446 y = BMI (kg/m?): 19.92, 20.59, 29.02, 20.78, 25.97, 20.39, 23.29, 17.27, 35.24 x = Age (yr): 45.5, 34.6, 40.6, 32.9, 28.2, 30.1, 52.1,33.3, 47.0 (a) Test for significance of regression using a = 0.05. Find the P-value for this test. Can you conclude that the model specifies a useful linear relationship between these two variables? (b) Estimate o? and the standard deviation of B.
Inorganic phosphorous is a naturally occurring element in all plants and animals, with concentrations increasing progressively up the food chain (fruit < vegetables < cereals < nuts < corpse). Geochemical surveys take soil samples to determine phosphorous content (in ppm, parts per million). A high phosphorous content may or may not indicate an ancient burial site, food storage site, or even a garbage dump. Independent random samples from two regions gave the following phosphorous measurements (in ppm). Assume the distribution of phosphorous is mound-shaped and symmetric for these two regions. Region I: x1; n1 = 15 853 1,549 1,230 875 1,080 2,330 1,850 1,860 2,340 1,080 910 1,130 1,450 1,260 1,010 Region II: x2; n2 = 14 538 808 790 1,230 1,770 960 1,650 860 890 640 1,180 1,160 1,050 1,020 (a) Use a calculator with mean and standard deviation keys to verify that x1, s1, x2, and s2. (Round your answers to four decimal places.) x1= ppm s1= ppm x2= ppm s2=…
The cetane number is a critical property in specifying the ignition quality of a fuel used in a diesel engine. Determination of this number for a biodiesel fuel is expensive and time- consuming. The article "Relating the Cetane Number of Biodiesel Fuels to Their Fatty Acid Composition: A Critical Study" (J. of Automobile Engr., 2009: 565–583) included the following data on x = iodine value (g) and y = cetane number for a sample of 15 biofuels The iodine value (x) is the amount of iodine necessary to saturate a sample of 100 g of oil. The article's authors fit the simple linear regression model to this data, so let' s does the same. 132.0 129.0 120.0 113.2 105.0 92.0 84.0 88.4 59.0 80.0 81.0 81.5 71.0 69.2 63.0 y 46.0 48.0 51.0 52.1 54.0 52.0 59.0 58.7 61.6 64.0 61.4 54.6 58.8 58.0 51.4 Construct a scatter plot for the data. Identify and state which is dependent and independent variable. What is the purpose of the scatter plot/diagram? 2. Fit a simple linear regression line/ equation to…
Inorganic phosphorous is a naturally occurring element in all plants and animals, with concentrations increasing progressively up the food chain (fruit < vegetables < cereals < nuts < corpse). Geochemical surveys take soil samples to determine phosphorous content (in ppm, parts per million). A high phosphorous content may or may not indicate an ancient burial site, food storage site, or even a garbage dump. Independent random samples from two regions gave the following phosphorous measurements (in ppm). Assume the distribution of phosphorous is mound-shaped and symmetric for these two regions Region I: x1; n1 = 15 855 1550 1230 875 1080 2330 1850 1860 2340 1080 910 1130 1450 1260 1010 Region II: x2; n2 = 14 540 810 790 1230 1770 960 1650 860 890 640 1180 1160 1050 1020 (a) Use a calculator with mean and standard deviation keys to verify that x1, s1, x2, and s2. (Round your answers to one decimal place.) x1 = ppm s1 = ppm x2 = ppm s2 = ppm (b)…
A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n=8n=8 in each sample. The first sample receives the drug every day. The second sample is given the drug once a week, and the third sample receives no drug at all (the control group). The dependent variables is the amount of food eaten by each rat over a 1-month period. These data are analyzed by an ANOVA, and the results are reported in the following summary table. Fill in all missing values in the table. (Hint: Start with the df column.) S.S. d.f. M.S. F Between 4.53 Within 4.18 TOTAL Use the =FDIST() function in Excel to locate the p-value for this ANOVA:p-value = Report answer accurate to at least 4 decimal places.If you use a significance level of α=.05α=.05, what would you conclude about these treatments? These data do not provide evidence of a difference between the treatments There is a significant…
In the article “Bactericidal Properties of Flat Surfaces and Nanoparticles Derivatized with Alkylated Polyethylenimines” (J. Lin, S. Qiu, et al., Biotechnology Progress, 2002:1082– 1086), experiments were described in which alkylated polyethylenimines were attached to surfaces and to nanoparticles to make them bactericidal. In one series of experiments, the bactericidal efficiency against the bacterium E. coli was compared for a methylated versus a non-methylated polymer. The mean percentage of bacterial cells killed with the methylated polymer was 95 with a standard deviation of 1, and the mean percentage of bacterial cells killed with the nonmethylated polymer was 70 with a standard deviation of 6. Assume that five independent measurements were made on each type of polymer. Find a 95% confidence interval for the increase in bactericidal efficiency of the methylated polymer.

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