(d) Draw a graph of the probability distribution and comment on its shape.Which graph below shows the probability distribution?O A.OB.Oc.OD.AP(x)0.5-AP(x)0.5-AP(x)0.5-AP(x)0.5-0.25-0.25-0.25-0.25-The binomial probability distribution is Use n= 6 and p = 0.75 to complete parts (a) through (d) below.(a) Construct a binomial probability distribution with the given parameters.P(x)4(Round to four decimal places as needed.)(b) Compute the mean and standard deviation of the random variable using ux = E[x•P(x)] and oxE.P(x] -u -(Round to two decimal places as needed.)| (Round to two decimal places as needed.)Hx =(c) Compute the mean and standard deviation, using ux = np and ox = Vnp(1 - p).Hx =(Round to two decimal places as needed.)(Round to two decimal places as needed.)2.

The binomial probability rule states that the probability of (x) success and (n-x) failures in (n)…

Use n= 6 and p = 0.75 to complete parts (a) through (d) below. (a) Construct a binomial probability distribution with the given parameters. P(x) 1 3 5 (Round to four decimal places as needed.) (b) Compute the mean and standard deviation of the random variable using Hx = Σκ. x•P(x)] and E•P(x)] -u · ox

Use n= 6 and p = 0.75 to complete parts (a) through (d) below. (a) Construct a binomial probability distribution with the given parameters. P(x) 1 3 5 (Round to four decimal places as needed.) (b) Compute the mean and standard deviation of the random variable using Hx = Σκ. x•P(x)] and E•P(x)] -u · ox

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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Concept explainers

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!

Question

(d) Draw a graph of the probability distribution and comment on its shape.
Which graph below shows the probability distribution?
O A.
OB.
Oc.
OD.
AP(x)
0.5-
AP(x)
0.5-
AP(x)
0.5-
AP(x)
0.5-
0.25-
0.25-
0.25-
0.25-
The binomial probability distribution is

Use n= 6 and p = 0.75 to complete parts (a) through (d) below.
(a) Construct a binomial probability distribution with the given parameters.
P(x)
4
(Round to four decimal places as needed.)
(b) Compute the mean and standard deviation of the random variable using ux = E[x•P(x)] and ox
E.P(x] -u -
(Round to two decimal places as needed.)
| (Round to two decimal places as needed.)
Hx =
(c) Compute the mean and standard deviation, using ux = np and ox = Vnp(1 - p).
Hx =
(Round to two decimal places as needed.)
(Round to two decimal places as needed.)
2.

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