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 = 0.23. 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 , and o,? (Use 3 decimal places.) %3D O5 = (b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distribution? Why or why not? --Select-- -, p|-Select--- v be approximated by a normal random variable because --Select--- (c) Suppose n = 43 and p = 0.20. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.) пр — ng = Select-- p --Select-- v be approximated by a normal random variable because Select--- What are the values of u, and o,? (Use 3 decimal places.) Hg =
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.
Use other parts of the question for help with answering the following question:
What are the values of ?p̂ and ?p̂? (Use 3 decimal places.)
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