Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.From part A I need help with the last blank:Yes, p can be approximated by a normal random variable because (, np and nq do not exceed, nq exceeds, nq does not exceed, both np and nq exceed, np does not exceed) - np exceeds is incorrect for this blankI need help withWhat are the values of ?p̂ and ?p̂? (Use 3 decimal places.) - it is below the fill in the blank above(c) Suppose n = 43 and p = 0.20. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) 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 = 6.21ng = 20.79Yesp canbe approximated by a normal random variable because np exceedsWhat are the values of u, and o,? (Use 3 decimal places.)Hg =(b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distribution? Why or why not?Nop cannotbe approximated by a normal random variable because np does not exceed5(c) Suppose n = 43 and p = 0.20. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.)np =nq =Yesp canbe approximated by a normal random variable because both np and ng exceed5What are the values of µ, and o,? (Use 3 decimal places.)Hp =Op =

As n= 27 and p= 0.23 We know that, q= 1-p= 1-0.23 = 0.77 mup^= mean = np= 6.21 Sigmap^= √npq =…

Answered: Suppose we have a binomial experiment…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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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.

From part A I need help with the last blank:

Yes, p can be approximated by a normal random variable because (, np and nq do not exceed, nq exceeds, nq does not exceed, both np and nq exceed, np does not exceed) - np exceeds is incorrect for this blank

I need help with

What are the values of ?_p̂ and ?_p̂? (Use 3 decimal places.) - it is below the fill in the blank above

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 = 6.21
ng = 20.79
Yes
p can
be approximated by a normal random variable because np exceeds
What are the values of u, and o,? (Use 3 decimal places.)
Hg =
(b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distribution? Why or why not?
No
p cannot
be approximated by a normal random variable because np does not exceed
5
(c) Suppose n = 43 and p = 0.20. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.)
np =
nq =
Yes
p can
be approximated by a normal random variable because both np and ng exceed
5
What are the values of µ, and o,? (Use 3 decimal places.)
Hp =
Op =

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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