Question: We have a model of randomized complete block design for an experiment. yo= + Ti+ P;+ E . i= 1,.,a; j=1,...b. T is for treatment

 We have a model of randomized complete block design for anexperiment. yo= + Ti+ P;+ E . i= 1,.,a; j=1,...b. T isfor treatment effect and / is the block effect, and & isthe random error in the model. Derive E(y; - y.;) and var(y;;

We have a model of randomized complete block design for an experiment. yo= + Ti+ P;+ E . i= 1,.,a; j=1,...b. T is for treatment effect and / is the block effect, and & is the random error in the model. Derive E(y; - y.;) and var(y;; - y. ) under the assumption that both treatment and block factors have fixed effect.QUESTION 1 True or False: The blocking variable in randomized complete block design is always a random effects variable. True False QUESTION 2 True or false: Graeco-Latin square designs can be for any p greater than or equal to 3. True False10) In a Randomized Complete Block Design one of the two factors in the analysis is an extraneous variable (we are not directly interested in it) that is called a block. Explain the goal of including the extraneous variable in the analysis.dy dx y(0) = 1 a) (5pts) Determine the solution of the above equation analytically b) (20 pts) Use Runge-Kutta second order Heun's method to solve the given equation over the interval [0, 12] with step size of h = 2 3 I X2 x2 S U a) y = b) Runge kutta Xi Yi ( True Value) Yi ( Runge Kutta) Error

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