Plzzzz explain all quations. Ty Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X)using the normal distribution and compare the result with the exact probability.n= 62, p = 0.4, and X= 20(Round to four decimal places as needed.)Can the normal distribution be used to approximate this probability?O A. Yes, because vnp(1- p) 2 10O B. No, because /np(1- p) s 10OC. Yes, because np(1 - p) 2 10O D. No, because np(1 - p)s 10Approximate P(X) using the normal distribution. Use a standard normal distribution table.O A. P(X)=|(Round to four decimal places as needed.)O B. The normal distribution cannot be used.By how much do the exact and approximated probabilities differ?OA.(Round to four decimal places as needed.)O B. The normal distribution cannot be used.

For X, well defined random variable and X~B(n,p), the pmf is P(X=x)=nCxpxq(n-x) ; x=0,1,2...n…

Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. n= 62, p = 0.4, and X = 20 O (Round to four decimal places as needed.) Can the normal distribution be used to approximate this probability? O A. Yes, because /np(1- p) 2 10 O B. No, because Vnp(1- p) s 10 OC. Yes, because np(1- p) 2 10 O D. No, because np(1-p)s 10 Approximate P(X) using the normal distribution. Use a standard normal distribution table. O A. P(X) = (Round to four decimal places as needed.) O B. The normal distribution cannot be used. By how much do the exact and approximated probabilities differ? OA. (Round to four decimal places as needed.) O B. The normal distribution cannot be used.

Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. n= 62, p = 0.4, and X = 20 O (Round to four decimal places as needed.) Can the normal distribution be used to approximate this probability? O A. Yes, because /np(1- p) 2 10 O B. No, because Vnp(1- p) s 10 OC. Yes, because np(1- p) 2 10 O D. No, because np(1-p)s 10 Approximate P(X) using the normal distribution. Use a standard normal distribution table. O A. P(X) = (Round to four decimal places as needed.) O B. The normal distribution cannot be used. By how much do the exact and approximated probabilities differ? OA. (Round to four decimal places as needed.) O B. The normal distribution cannot be used.

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Concept explainers

Counting Principles

In statistics, the counting principle can be said to be the concept in which the quantity of an item is determined. There can be a single item, or a group of items, or items that are related to each other. In every possible set of items, the quantity of the possible item groups or their sorting measures can be determined with counting principles.

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Plzzzz explain all quations. Ty

Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X)
using the normal distribution and compare the result with the exact probability.
n= 62, p = 0.4, and X= 20
(Round to four decimal places as needed.)
Can the normal distribution be used to approximate this probability?
O A. Yes, because vnp(1- p) 2 10
O B. No, because /np(1- p) s 10
OC. Yes, because np(1 - p) 2 10
O D. No, because np(1 - p)s 10
Approximate P(X) using the normal distribution. Use a standard normal distribution table.
O A. P(X)=|
(Round to four decimal places as needed.)
O B. The normal distribution cannot be used.
By how much do the exact and approximated probabilities differ?
OA.
(Round to four decimal places as needed.)
O B. The normal distribution cannot be used.

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