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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. (a) Suppose n = 27 and p...

Hello, I need help understanding this. I manage to calculate the rest of it. I had a hard time understand the rest. someone can help me learn this and understand it. thank you

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 = 0.40. (For each answer, enter a number. Use 2 decimal places.)
n.p =
n.q =
Can we approximate p by a normal distribution? Why? (Fill in the blank. There are four answer blanks. A blank is represented by
_.)
P
be approximated by a normal random variable because
first blank
O Yes
O No
second blank
O can
cannot
third blank
n.q does not exceed
On.p and n.q do not exceed
On.p does not exceed
On.p exceeds
O n.q exceeds
O both n.p and n.q exceed
X
fourth blank (Enter an exact number.)
What are the values of u, and o,? (For each answer, enter a number. Use 3 decimal places. )
(b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distribution? Why or why not? (Fill in the blank. There are four answer blanks. A blank is represented by
be approximated by a normal random variable because

third blank
On.q does not exceed
On.p and n.q do not exceed
On.p does not exceed
On.p
On.q exceeds
O both n.p and n.q exceed
fourth blank ( Enter an exact number.)
(c) Suppose n = 41 and p = 0.40. (For each answer, enter a number. Use 2 decimal places.)
n.p =
n.q =
Can we approximate p by a normal distribution? Why? (Fill in the blank. There are four answer blanks. A blank is represented by
, p
be approximated by a normal random variable because
first blank
O Yes
O No
second blank
O can
cannot
third blank
n.q does not exceed
On.p and n.q do not exceed
On.p does not exceed
O n.p exceeds
On.q exceeds
both n-p and n.q exceed
fourth blank (Enter an exact number.)
What are the values of u, and o ? (For each answer, enter a number. Use 3 decimal places.)

a). np=10.8 nq=16.2 P can be expressed as normal distribution because both np and nq exceeds 5 ﻿ μ ﻿ p... View the full answer

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