Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. Refer to screenshot.(a) Suppose n = 27 and p = 0.23. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) for the second part the options are:(Yes, no) p̂ (can, cannot) be approximated by a normal random variable because (np exceeds, np and nq do not exceed, nq exceeds, nq does not exceed, both np and nq exceed, np does not exceed) ___________ (fill in blank). What are the values of ?p̂ and ?p̂? (Use 3 decimal places.) Select--- v, PSelect---be approximated by a normal random variable becauseSelect--Select--What are the values of u, and o,? (Use 3 decimal places.)пр ехсееdsH3 =np and ng do not exceednq exceedsnq does not exceed(b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distributic both np and ng exceedSelect---, p ---Select---be approximated by a normal random variable becausenp does not exceed Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.(a) Suppose n = 27 and p = 0.23. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.)np =ng =-Select----Select-- v be approximated by a normal random variable becauseSelect--What are the values of µ, and o,? (Use 3 decimal places.)

Binomial distribution: A discrete r.v. X taking values 0,1,2,3, …., n is said to follow a binomial…

Answered: Suppose we have a binomial experiment…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. Refer to screenshot.

(a) Suppose n = 27 and p = 0.23. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.)

for the second part the options are:

(Yes, no) p̂ (can, cannot) be approximated by a normal random variable because (np exceeds, np and nq do not exceed, nq exceeds, nq does not exceed, both np and nq exceed, np does not exceed) ___________ (fill in blank).

What are the values of ?_p̂ and ?_p̂? (Use 3 decimal places.)

Select--- v, P
Select---
be approximated by a normal random variable because
Select--
Select--
What are the values of u, and o,? (Use 3 decimal places.)
пр ехсееds
H3 =
np and ng do not exceed
nq exceeds
nq does not exceed
(b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distributic both np and ng exceed
Select---
, p ---Select---
be approximated by a normal random variable because
np does not exceed

Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.
(a) Suppose n = 27 and p = 0.23. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.)
np =
ng =
-Select---
-Select-- v be approximated by a normal random variable because
Select--
What are the values of µ, and o,? (Use 3 decimal places.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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