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 = 0.18. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = , p̂ be approximated by a normal random variable because . What are the values of μp̂ and σp̂? (Use 3 decimal places.) μp̂ = σp̂ = (b) Suppose n = 25 and p = 0.15. Can we safely approximate p̂ by a normal distribution? Why or why not? , p̂ be approximated by a normal random variable because . (c) Suppose n = 61 and p = 0.26. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = , p̂ be approximated by a normal random variable because . What are the values of μp̂ and σp̂? (Use 3 decimal places.) μp̂ = σp̂ =
a)
np= | 7.02 |
n(1-p)= | 31.98 |
p̂ be approximated by a normal random variable because np and nq >=5
here population proportion= μp= | 0.180 |
std error of proportion=σp=√(p*(1-p)/n)= | 0.062 |
b)
np= | 3.75 |
n(1-p)= | 21.25 |
p̂ cannot be approximated by a normal random variable because np <5
c)
np= | 15.86 |
n(1-p)= | 45.14 |
p̂ be approximated by a normal random variable because np and nq >=5
here population proportion= μp= | 0.260 |
std error of proportion=σp=√(p*(1-p)/n)= | 0.056 |
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