The capacity named mymax1 should take one boundary a that is a 1D cluster, and return

the maximum scalar worth in the given exhibit, or [] if the cluster an is vacant. The return

worth ought to be a scalar. Note that mymax1 capacity should deliver similar outcomes

as the implicit capacity named max, when it is given an information boundary that is a

1D exhibit.

The capacity named mymax2 should take one boundary a, that is a 1D or 2D exhibit. In the event that

the boundary a will be a 2D exhibit then mymax2 should return a column vector loaded up with the

greatest worth of every section in exhibit a. Assuming cluster an is 1D, mymax2 should return

the maximum scalar worth in the given cluster. In the event that the cluster an is vacant, mymax2 ought to

return []. Note that mymax1 capacity should create similar outcomes as the implicit

work named max, when it is given a 1D or 2D info boundary.

The capacity named mymax3 should take one boundary a that is a 1D or 2D cluster, and

return the most extreme worth in exhibit a, that is a scalar worth.

Your capacities mymax1, mymax2, mymax3 should utilize while circles with settled if else

articulations to figure the qualities returned.

Note: don't utilize the implicit capacity named max in your capacities named mymax1,

mymax2, or mymax3.

Start your lab07.m by setting the irregular seed with the worth of 1, for example

rng(1); % track down this first, on the off chance that you don't, you will get inaccurate qualities.

At that point make 3 exhibits named a,b,c, in the accompanying request.

an ought to be a column of 10 arbitrary numbers r with the end goal that - 5

b ought to be a 5x8 framework of arbitrary twofold with the end goal that - 100.0

c ought to be a 10x10 grid of arbitrary twofold to such an extent that 0.0

The cmds for doing that are appeared beneath:.

Question 47 A probability distribution that is useful in describing the time, or space, between occurrences of an event is a(n) Not yet answered Select one: Marked out of 1.00 1. normal probability distribution P Flag O 2. uniform probability distribution question O 3. exponential probability distribution O 4. Poisson probability distributionetermine whether or not the distribution is a probability distribution and select the reason(s) why or why not. 2 4 6 P(x) Select all that apply: The given distribution is not a probability distribution, since the sum of probabilities is not equal to 1. The given distribution is a probability distribution, since the sum of probabilities is equal to 1. The given distribution is not a probability distribution, since at least one of the probabilities is greater than I or less than 0.Y\\X'U 1 2 0 0.10 0.35 0.20 1 0.05 0.10 0.20 Furthermore, let (X,, K), 2' = 1, 2, . . . be independent pairs of random variables, with each pair (Kali) distributed like (X, Y). (a) (8 pts) Determine the probability distribution of the random variable X 2Y. (b) (5 pts) What does the law of large numbers imply about the distribution of 800 l 300 ,2, (Xi 2K1)? [(3) (5 pts) What is the probability that Y1 '2 X1? (d) (5 pts) What is the probability that Y] > X2? (e) (8 pts) What is the probability distribution of X conditional on the event that at the same time, Y = 0 and X > 0? (f) (9 pts) IS the conditional rnean E[Y'X : .13] a linear function of m? Explain. 6. (40 points) Consider the following distribution of the two random variables (X, Y) 2 0 0.10 0.35 0.20 1 0.05 0.10 0.20 Furthermore, let (X., Y(), i - 1, 2,. . . be independent pairs of random variables, with each pair (X;, Y,) distributed like (X, Y). (a) (8 pts) Determine the probability distribution of the random variable X - 2Y. (b) (5 pts) What does the law of large numbers imply about the distribution of 800 800 D (X - 2X)? (c) (5 pts) What is the probability that Y > X,? (d) (5 pts) What is the probability that Y, > X,? (e) (8 pts) What is the probability distribution of X conditional on the event that at the same time, Y = 0 and X > 0? (f) (9 pts) Is the conditional mean E[Y X = ] a linear function of r? Explain