Question

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

(a)Suppose n = 40 and p = 0.31. (For each answer, enter a number. Use 2 decimal places.)
n·p =
n·q =

Can we approximate p̂ by a normal distribution? Why? (Fill in the blank. There are four answer blanks. A blank is represented by _____.)

_____, p̂ _____ be approximated by a normal random variable because _____ _____.

first blank

Yes

No    

second blank

can

cannot    

third blank

n·p and n·q do not exceed

n·p does not exceed

n·q exceeds

n·q does not exceed

n·p exceeds

both n·p and n·q exceed

fourth blank (Enter an exact number.)
_____

What are the values of μ_p̂ and σ_p̂? (For each answer, enter a number. Use 3 decimal places.)
μ_p̂ =

σ_p̂ =

(b)

Suppose  n = 25 and​​​​​​​ p = 0.15. Can we safely approximate p̂ by a normal distribution? Why or why not? (Fill in the blank. There are four answer blanks. A blank is represented by _____.)

_____, p̂ _____ be approximated by a normal random variable because _____ _____.

first blank

Yes

No    

second blank

can

cannot    

third blank

n·p and n·q do not exceed

n·p does not exceed

n·q exceeds

n·q does not exceed

n·p exceeds

both n·p and n·q exceed

fourth blank (Enter an exact number.)
_____

(c) Suppose n = 63 and​​​​​​​ p = 0.37. (For each answer, enter a number. Use 2 decimal places.)
n·p =
n·q =

Can we approximate p̂ by a normal distribution? Why? (Fill in the blank. There are four answer blanks. A blank is represented by _____.)

_____, p̂ _____ be approximated by a normal random variable because _____ _____.

first blank

Yes

No    

second blank

can

cannot    

third blank

n·p and n·q do not exceed

n·p does not exceed

n·q exceeds

n·q does not exceed

n·p exceeds

both n·p and n·q exceed

fourth blank (Enter an exact number.)
_____

What are the values of μ_p̂ and σ_p̂? (For each answer, enter a number. Use 3 decimal places.)
μ_p̂ =

σ_p̂ =

Answer 1

, be approximated by a normal random variable because

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, be approximated by a normal random variable because

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, be approximated by a normal random variable because