The antibiotic gentamicin sulphate is often blended with acrylic bone cement to helpprevent infection following joint replacement surgery. The article "Incorporation of LargeAmounts of Gentamicin Sulphate Into Acrylic Bone Cement: Effect on Handling andMechanical Properties, Antibiotic Release, and Biofilm Formation" (N. Dunne, P. MCAfee,et al., Journal of Engineering in Medicine, 2008:355-365) presents a study of the effect ofthe amount of antibiotic added on various properties of the cement. Following aremeasurements of the setting time of the cement, for six levels of antibiotic amount, andthree replications per level. The measurements are consistent with means and standarddeviations presented in the article.Antibiotic per 40 g CementSetting Time (min)0g0.581g12.714.113.213.514.514.612.713.413.212.713.614.113.413.514.314.513.514.9Construct an ANOVA table. You may give a range for the P-value.Can you conclude that there are differences among the mean setting times?a.b.

a. The null and the alternative hypotheses are given below: Where, A, B, and so on F represents the…

Answered: The antibiotic gentamicin sulphate is…

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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The article "Organic Recycling for Soil Quality Conservation in a Sub-Tropical Plateau Region" (K. Chakrabarti, B. Sarkar, et al., J. Agronomy and Crop Science, 2000:137-142) reports an experiment in which soil specimens were treated with six different treatments, with two replicates per treatment, and the acid phosphate activity (in umol p-nitrophenol released per gram of oven-dry soil per hour) was recorded. An ANOVA table for a one-way ANOVA follows. One-way ANOVA: Treatments A, B, C, D, E, F Source DF MS Treatment 1.18547 0.23709 46.64 0.000 Епог 0.03050 0.00508 Total 11 1.21597 The treatment means were А в с D E F Treatment 0.99 1.99 1.405 1.63 1.395 1.22 Mean Can you conclude that there are differences in acid phosphate activity among the treatments? a. Use the Tukey-Kramer method to determine which pairs of treatment means, if any, are different at the 5% level. Use the Bonferoni method to determine which pairs of treatment means, b. if any, are C. different at the 5% level. d.…
I want to assess whether or not students produce more stress hormones (cortisol) after watching different types of movies. I collect saliva samples (to assess cortisol, stress) from students after they watch an action movie and then another (two days later) after they watch a horror movie. The amount of stress hormone in the saliva is measured as ng/mL.Test the hypothesis that saliva cortisol levels will be different between the two genres of movies at an alpha of 0.05. (Have action - horror be set for your differences). a. What is the null hypothesis? b. What is the alternative hypothesis? Data: Action Movie Horror Movie 10 12 -2 15 18 -3 16 17 -1 20 21 -1 24 22 2 24 23 1 26 27 1 13 16 -3 18 20 -2 19 23 -4 20 15 5 24 25 1
Researchers have recently hypothesized that patients with myotonic dystrophy (a neuromuscular disease) also have hyperparathyroidism, a syndrome caused by an overactive parathyroid gland. To test this hypothesis, they measured the body’s response to a calcium challenge in patients with myotonic dystrophy, patients with other types of dystrophy (nonmyotonic dystrophy), and normal subjects. One of the biochemical variables they measured was the amount of cAMP excreted by the kidneys. Elevated renal cAMP excretion would be consistent with hyperparathyroidism. The data is contained in the screenshot, where two variables are listed: cAMP – Amount of cAMP excreted by the kidneys, measured in nmol/dL. patient – A factor defining the clinical status of the patient, with three levels: 1, Normal Patient in control group, with no disease. 2, Myotonic Patient with myotonic dystrophy. 3, Nonmyotonic Patient with nonmyotonic dystrophy. (a) Perform an analysis of variance calculation to test the…
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?
Suppose you fit the first-order model y=β0+β1x1+β2x2+β3x3+β4x4+β5x5+ε to n=30 data points and obtain SSE=0.33 and R2=0.93. Complete parts a and b. Question content area bottom Part 1 a. Do the values of SSE and R2 suggest that the model provides a good fit to the data? Explain. A. No. Since R2=0.93 is close to 1, this indicates the model does not provide a good fit. Also, SSE=0.33 is fairly small, which indicates the model does not provide a good fit. B. There is not enough information to decide. C. Yes. Since R2=0.93 is close to 1, this indicates the model provides a good fit. Also, SSE=0.33 is fairly small, which indicates the model provides a good fit.
Determine the degrees of freedom, find the critical value, and identify the rejection region. What are the degrees of freedom? d.f.=
Adding glass particles to clay brick may improve the structural properties of the brick. The article "Effects of Waste Glass Additions on the Properties and Durability of Fired Clay Brick" (S. Chidiac and L. Federico, Can J Civ Eng, 2007:1458–1466) describes experiments in which the compressive strength (in MPa) was measured for bricks with varying amounts of glass content and glass particle size. The results in the following table are consistent with means and standard deviations presented in the article. Glass Content (%) Strength (MPa) Size 5 Coarse 78.7 70.8 78.6 81.7 79.2 5 Fine 73.0 90.1 71.4 93.8 82.7 10 Coarse 80.1 76.9 76.5 84.3 77.7 10 Fine 76.2 80.1 121.2 81.4 61.2 15 Coarse 90.3 95.8 103.1 99.5 73.3 15 Fine 141.1 144.1 122.4 134.5 124.9 a. Estimate all main effects and interactions. b. Construct an ANOVA table. You may give ranges for the P-values. Is the additive model plausible? Provide the value of a test statistic and the P-value. Can the effect of glass content on…
Acrylic resins used in the fabrication of dentures should not absorb much water, since water sorption reduces strength. The article "Reinforcement of Acıylic Resin for Provisional Fixed Restorations. Part III: Effects of Addition of Titania and Zirconia Mixtures on Some Mechanical and Physical Properties" (W. Panyayong, Y. Oshida, et al., Bio-Medical Materials and Engineering, 2002:353-366) describes a study of the effect on water sorption of adding titanium dioxide (TiO,) and zirconium dioxide (ZiO,) to a standard acıylic resin. Twelve specimens from each of several formulations, containing various amounts of TiO, and Zro, were immersed in water for one week, and the water sorption (in ug/mm?) was measured in each. The results are presented in the following table. Volume % Formulation TIO, Zro, Mean A (control) Standard Deviation 24.03 2.50 14.88 1.55 2 12.81 1.08 0.5 11.21 2.98 2 16.05 1.66 12.87 0.96 15.23 0.97 Н 3 15.37 0.64 Use the Bonferoni method to determine which of the…
The article "Bone Density and Insertion Torque as Predictors of Anterior Cruciate Ligament Graft Fixation Strength"t gave the accompanying data on maximum insertion torque (N• m) and yield load (N), the latter being one measure of graft strength, for 15 different specimens. Torque 1.8 2.2 1.9 1.3 2.1 2.2 1.6 2.1 1.2 1.8 2.6 2.5 2.5 1.7 1.6 Load 491 477 598 361 605 671 466 431 384 422 554 577 642 348 446 (a) Is it plausible that yield load is normally distributed? Yes, there are more than thirty data values. No, a normal probability plot of yield load is not quite linear. Yes, a normal probability plot of yield load is quite quadratic. No, there is not more than thirty data values. Yes, a normal probability plot of yield load is quite linear. (b) Estimate true average yield load by calculating a confidence interval with a confidence level of 95%. (Round your answer to two decimal places.) Interpret the interval. We are 95% confident that the true population average yield load lies below…
b) Suppose you are given the following information for an OLS regression: Σχι X; Y = 830102,T = 22,x=416.5, y = 86.65, x = 3919654, RSS = 130.6 i) Calculate the ordinary least square regression line. Calculate SE (a) and SE (B) Perform the hypothesis test such that Ho: a = -60 versus H₁: α = -60 Perform the hypothesis test such that Ho: P = 0.4 versus H₁: B = 0.4 In both cases use a significance of 5%. ii) iii) iv)
The decline of salmon fisheries along the Columbia River in Oregon has caused great concern among commercial and recreational fishermen. The paper 'Feeding of Predaceous Fishes on Out-Migrating Juvenile Salmonids in John Day Reservoir, Columbia River' (Trans. Amer. Fisheries Soc. (1991: 405-420) gave the accompanying data on y = maximum size of salmonids consumed by a northern squaw fish (the most abundant salmonid predator) and x = squawfish length, both in mm. Here is the computer software printout of the summary: Coefficients: Estimate Std. Error t value Pr(> |t|) (Intercept) −89.010 16.720 −5.324 0.000 Length 0.704 0.049 14.333 0.000 Using this information, give the equation of the least squares regression line.
researcher would like to examine the effect of fertilizer on flower growth. She obtains several flowers. She randomly assigns half the plants to the no fertilizer condition. The other half of the plants receive fertilizer. She monitors their growth for a month. She then compares the amount of growth of the two sets of plants. Is there a difference in growth between the no fertilizer and the fertilizer conditions? Use the .05 level of significance. In addition, find Cohen’s d and state what the effect size is in a sentence. Growth Rating No Fertilizer 40,21,27,30, 47 Fertilizer 46,25, 24, 38, 53

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