Question

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 = 43 and p = 0.26. Can we approximate by a normal distribution? Why? (Use 2 decimal places.)

np = 11.18

nq = 31.82

What are the values of μ and σ? (Use 3 decimal places.)

μ =

σ =

I know np and nq for sure but I am having a hard time determining μ and σ

Homework Answers

Answer #1

Solution :

(a)

We approximate by a normal distribution because np , nq > 10

The mean of the sampling distribution of proportion is ,

= p = 0.26

The standard deviation of the sampling distribution is ,  

=  [p( 1 - p ) / n = [(0.26 * 0.74) / 43] = 0.067

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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 = 43 and p = 0.23. 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 =
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 = 0.36. Can we approximate p̂ by a normal distribution? Why? np=9.36 nq=16.64 What are the values of μp̂ and σp̂? (Use 3 decimal places.) (b) Suppose n = 58 and p = 0.36. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np=20.88 nq=37.12 What are the...
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 = 30 and p = 0.18. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = 5.4 nq = 24.6 Yes  , p̂ can  be approximated by a normal random variable because  ---Select--- nq does not exceed np does not exceed both np and nq exceed nq exceeds np exceeds np and nq do...
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 = 30 and p = 0.18. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = ---Select--- Yes No , p̂  ---Select--- cannot can be approximated by a normal random variable because  ---Select--- nq does not exceed np does not exceed both np and nq exceed nq exceeds np exceeds np...
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 = 35 and p = 0.17. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = _______ (Yes or No) , p̂  ________ (cannot or can) be approximated by a normal random variable because ________ (np and nq do not exceed, or np does not exceed, or both np and...
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 = 0.24. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = (YES or NO), p̂ (CANNOT or CAN) be approximated by a normal random variable because .(NP exceeds, np does not exceed, nq exceeds, nq does not exceed, np and nq do not exceed,...
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 = 30 and p = 0.38. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = ---Select--- Yes No , p̂  ---Select--- can cannot be approximated by a normal random variable because  ---Select--- nq does not exceed nq exceeds both np and nq exceed np exceeds np and nq do not...
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 = 43 and p = 0.13. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = ---Select--- Yes No ,  p̂  ---Select--- can cannot be approximated by a normal random variable because  ---Select--- both np and nq exceed np does not exceed nq exceeds nq does not exceed np exceeds np and...
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 = 0.23. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = ---Select--- , p̂ ---Select--- be approximated by a normal random variable because ---Select--- . What are the values of μp̂ and σp̂? (Use 3 decimal places.) μp̂ = σp̂ = (b) Suppose n...
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 = 0.27. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = ---Select--- Yes No ,  p̂  ---Select--- can cannot be approximated by a normal random variable because  ---Select--- both np and nq exceed nq does not exceed np and nq do not exceed np exceeds np does...