Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.(a) Suppose n = 29 and p = 0.21. Can we approximate p^ by a normal distribution? Why? (Use 2 decimal places.)np =ng =---Select-----Select---v be approximated by a normal random variable because--Select---What are the values of up and o,? (Use 3 decimal places.)Hp°Op =(b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distribution? Why or why not?---Select---v be approximated by a normal random variable because---Select---v,p--Select---(c) Suppose n = 63 and p = 0.36. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.)np =ng =--Select---v ,P--Select---v be approximated by a normal random variable because--Select---What are the values of up and o,? (Use 3 decimal places.)HpOp

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Description: Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.(a) Suppose n = 29 and p = 0.21. Can we approximate p^ by a normal distribution? Why? (Use 2 decimal places.)np =ng =---Selec

We can approximate P^ by a normal distribution if both np and nq exceed 5

Math

Statistics

Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 29 and p = 0.21. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.) np = nq = --Select---v , p^ --Select-- v be approximated by a normal random variable because -Select-- What are the values of µp^ and op ? (Use 3 decimal places.) Hp^ = (b) Suppose n = 25 and p = 0.15. Can we safely approximate p^ by a normal distribution? Why or why not? --Select--v , p°--Select--- v be approximated by a normal random variable because --Select--- (c) Suppose n = 63 and p = 0.36. Can we approximate p^ by a normal distribution? Why? (Use 2 decimal places.) np = nq = --Select---v , p^--Select--- v be approximated by a normal random variable because --Select--- What are the values of µp^ and op ? (Use 3 decimal places.) Hp° Op

Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 29 and p = 0.21. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.) np = nq = --Select---v , p^ --Select-- v be approximated by a normal random variable because -Select-- What are the values of µp^ and op ? (Use 3 decimal places.) Hp^ = (b) Suppose n = 25 and p = 0.15. Can we safely approximate p^ by a normal distribution? Why or why not? --Select--v , p°--Select--- v be approximated by a normal random variable because --Select--- (c) Suppose n = 63 and p = 0.36. Can we approximate p^ by a normal distribution? Why? (Use 2 decimal places.) np = nq = --Select---v , p^--Select--- v be approximated by a normal random variable because --Select--- What are the values of µp^ and op ? (Use 3 decimal places.) Hp° Op

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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 = 0.37. 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--- np does not exceed both np and nq exceed np exceeds nq does not exceed nq exceeds np and nq do not exceed .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? ---Select--- Yes No , p̂ ---Select--- cannot can be approximated by a normal random variable because ---Select--- nq does not exceed np does not exceed np and nq do not exceed nq exceeds np exceeds both np and nq exceed .(c) Suppose n = 61 and p = 0.33. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.)…