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Verify the rows of the transition matrix in Example 3.10.6 that correspond to current states\(\left\{ {AA,Aa} \right\}\)and\(\left\{ {Aa,aa} \right\}\)

Short Answer

Expert verified

Rows of transition matrix that correspond to current states \(\left\{ {AA,Aa} \right\}\) and \(\left\{ {Aa,aa} \right\}\)

Step by step solution

01

Computing the transition matrix of the process of the second cross.

Consider a make and a female plant both with allele Aa. First, cross the two plants with genotypes Aa and aa to produce 2 offspring.

After the cross, the parent plants are destroyed. The offspring of the cross are further crossed with each other. There are four possible ways to combine genes in the offspring.

An offspring could get a from the ovule and a from the pollen, a from the ovule and A from pollen, A from the ovule and a from the pollen, A from the ovule, and A from the pollen.

The possibility of each way has a possibility of 0.25.

Hence the transition matrix can be listed in the table as follows:

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Most popular questions from this chapter

Question:Suppose thatXandYare random variables such that(X, Y)must belong to the rectangle in thexy-plane containing all points(x, y)for which 0≤x≤3 and 0≤y≤4. Suppose also that the joint c.d.f. ofXandYat every point

(x,y) in this rectangle is specified as follows:

\({\bf{F}}\left( {{\bf{x,y}}} \right){\bf{ = }}\frac{{\bf{1}}}{{{\bf{156}}}}{\bf{xy}}\left( {{{\bf{x}}^{\bf{2}}}{\bf{ + y}}} \right)\)

Determine

(a) Pr(1≤X≤2 and 1≤Y≤2);

(b) Pr(2≤X≤4 and 2≤Y≤4);

(c) the c.d.f. ofY;

(d) the joint p.d.f. ofXandY;

(e) Pr(YX).

Let Z be the rate at which customers are served in a queue. Assume that Z has the p.d.f.

\(\begin{aligned}f\left( z \right) &= 2e{}^{ - 2z},z > 0\\ &= 0,otherwise\end{aligned}\)

Find the p.d.f. of the average waiting time T = 1/Z.

Suppose that\({X_1}....{X_n}\)are i.i.d. random variables, each having the following c.d.f.:\(F\left( x \right) = \left\{ \begin{array}{l}0\,\,\,\,\,\,\,\,\,\,\,\,\,\,for\,x \le 0\\1 - {e^{ - x}}\,\,\,for\,x > 0\end{array} \right.\)

Let\({Y_1} = min\left\{ {{X_1},{X_2}..{X_n}} \right\}\)and\({Y_n} = max\left\{ {{X_{1,}}{X_2}..{X_n}} \right\}\)Determine the conditional p.d.f. of\({Y_1}\)given that\({Y_n} = {y_n}\)

Suppose that \({{\bf{X}}_{\bf{1}}}\;{\bf{and}}\;{{\bf{X}}_{\bf{2}}}\) are i.i.d. random variables andthat each of them has a uniform distribution on theinterval [0, 1]. Find the p.d.f. of\({\bf{Y = }}{{\bf{X}}_{\bf{1}}}{\bf{ + }}{{\bf{X}}_{\bf{2}}}\).

Suppose that \({{\bf{X}}_{\bf{1}}}{\bf{ \ldots }}{{\bf{X}}_{\bf{n}}}\)form a random sample of nobservations from the uniform distribution on the interval(0, 1), and let Y denote the second largest of the observations.Determine the p.d.f. of Y.Hint: First, determine thec.d.f. G of Y by noting that

\(\begin{aligned}G\left( y \right) &= \Pr \left( {Y \le y} \right)\\ &= \Pr \left( {At\,\,least\,\,n - 1\,\,observations\,\, \le \,\,y} \right)\end{aligned}\)

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