A virologist is interested in studying the effects of 2 preselected different culture media and 2 preselected different times on the growth of a particular virus. She performs a balanced design with 6 plates for each of the treatment combinations. The 24 measurements were taken in a completely randomized order. Medium Time121218121827.538.027.229.3data: Medium 1 & Time 12Shapiro-Wilk normality testW = 0.93239,p-value = 0.5987data: Medium 2 & Time 12Shapiro-Wilk normality testW = 0.86098p-value 0.2318Levene's Test for Homogeneity29.737.627.130.6Treatment CombinationResidualssignif. codes: 0 ***** 0.001 **** 0.0115.4group 3 5.474 0.006521 **40.0data: Medium 1 & Time 18Shapiro-Wilk normality testW = 0.91981,p-value 0.50426.831.6data: Medium 2 & Time 18.Shapiro-Wilk normality testW- 0.96619p-value 0.8503of Variance (center = "mean")Df F value Pr (>F)Data> summary(aov(wk8_data$Data-wk8_data$Medium*wk8_datasTime))Df Sum Sq Mean Sq F value Pr(>F)wk8_data$Medium1 3.80.531wk8_data$Time1 633.5wk8_data$Medium: wk8_data$Time 1 233.8Residuals20 185.3Signif. codes: 0 **** 0.001*** 0.01 * 0.05.¹0.1Analysis of VarianceDf Sum Sq Mean Sq F value Pr (>F)3 871.0 290.3220 185.39.26Kruskal-Wallis Rank Sum Test3.8 0.406633.5 68.385 6.96e-08 ***233.8 25.235 6.51e-05 ***9.3131.34 9.35e-08 ***0.05 0.11data: wk8_data Data by Treatment CombinationsKruskal-Wallis chi-squared = 19.007, df = 3, p-value = 0.000272521.037.328.632.8Medium111111111111722NNN22222220.840.931.132.5Time12∞∞∞∞ ∞ ∞NNNNNN ∞ ∞ ∞ ∞ ∞ ∞ NNNNNN121212121218181818181812121212121218181818181819.138.825.4Data33.627.529.715.42120.819.13837.64037.340.938.827.227.126.828.631.125.429.330.631.632.832.533.6 Yijk =μ=di ==Specify the appropriate linear model and define each component in thecontext with the problem.Bi =(aß),Sijk=Yijik = μ + a₁ + B₁ + (aß) +&i=1,2; j = 1,2; k = 1,2,3,4j17

Designs are usually distinguished by the way experimental units are grouped and by the way…

Answered: Yk μ = 8 di = = Bi - = (αβ) Specify the…

Yk μ = 8 di = = Bi - = (αβ) Specify the appropriate linear model and define each component in the context with the problem. Yijk = μ + a₁ + B₁ + (aß) +&i=1,2; j = 1,2; k=1,2,3,4 & ijk = =

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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