Question

In: Statistics and Probability

Suppose we have a binomial experiment in which success is defined to be a particular quality...

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

(a)

  • Suppose n = 42 and
  • p = 0.18.

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

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

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

first blank

YesNo    

second blank

cancannot    

third blank

both n·p and n·q exceedn·p and n·q do not exceed    n·p does not exceedn·q exceedsn·p exceedsn·q does not exceed

fourth blank (Enter an exact number.)


What are the values of μ and σ? (For each answer, enter a number. Use 3 decimal places.)
μ = mu sub p hat =

σ = sigma sub p hat =

(b)

Suppose

  • n = 25 and
  • p = 0.15.

Can we safely approximate 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 _____ _____.

first blank

YesNo    

second blank

cancannot    

third blank

both n·p and n·q exceedn·p and n·q do not exceed    n·p does not exceedn·q exceedsn·p exceedsn·q does not exceed

fourth blank (Enter an exact number.)

(c)

Suppose

  • n = 56 and
  • p = 0.21.

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

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

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

first blank

YesNo    

second blank

cancannot    

third blank

both n·p and n·q exceedn·p and n·q do not exceed    n·p does not exceedn·q exceedsn·p exceedsn·q does not exceed

fourth blank (Enter an exact number.)


What are the values of μ and σ? (For each answer, enter a number. Use 3 decimal places.)
μ = mu sub p hat =

σ = sigma sub p hat =

Solutions

Expert Solution

a)

(a)

  • Suppose n = 42 and
  • p = 0.18.

n·p =42   *   0.180   =           7.560

n·q = 34.44


___Yes,__, __can___ be approximated by a normal random variable because ___ both n·p and n·q exceed__ __5___.



What are the values of μ and σ? (For each answer, enter a number. Use 3 decimal places.)
μ = mu sub p hat =0.18


σ = sigma sub p hat = √( p(1-p)/n ) =    0.059

b)

  • Suppose n = 25 and
  • p = 0.15.

n·p = 3.75

n·q = 21.25


___NO,__, __canmot___ be approximated by a normal random variable because ___   n·p does not exceedn·q exceeds__ __5___.



What are the values of μ and σ? (For each answer, enter a number. Use 3 decimal places.)
μ = mu sub p hat =0.15


σ = sigma sub p hat = √( p(1-p)/n ) = 0.071

c)

  • Suppose n = 56 and
  • p = 0.21.

n·p = 11.76

n·q = 44.24


___YES,__, __can___ be approximated by a normal random variable because ___  both n·p and n·q exceed __ __5___.



What are the values of μ and σ? (For each answer, enter a number. Use 3 decimal places.)
μ = mu sub p hat =0.21


σ = sigma sub p hat = √( p(1-p)/n ) = 0.054


Related Solutions

Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 44 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 _____...
Suppose we have a binomial experiment in which success is defined to be a particular quality...
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 = 0.38. (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 _____...
Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 26 and p = 0.39  (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 two answer blanks. A blank is represented by _____.) yes, p̂ can be approximated by a normal random variable because _____ _____....
Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 36 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 _____...
Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 41 and​​​​​​​  p = 0.26. (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 _____ _____....
Suppose we have a binomial experiment in which success is defined to be a particular quality...
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 _____ _____....
Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 31 and p = 0.17. (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 _____...
Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 33 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 _____...
Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 39 and p = 0.35. (For each answer, enter a number. Use 2 decimal places.) n·p = 13.65 Correct: Your answer is correct. n·q = 25.35 Correct: Your answer is correct. Can we approximate p̂ by a normal distribution? Why? (Fill in the blank. There are four answer blanks. A blank is represented by _____.)...
Suppose we have a binomial experiment in which success is defined to be a particular quality...
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 39 and p = 0.13. (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 _____...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT