Basic Computation: p Distribution Suppose we have a binomial experi- ment in which success is defined to be a particular quality or attribute that interests us. 33 and p = 0.21. Can we approximate the p distribution by (a) Suppose n = a normal distribution? Why? What are the values of µ, and o;? (b) Suppose n = 25 and p = 0.15. Can we safely approximate the p distribu- tion by a normal distribution? Why or why not? (c) Suppose n = 48 and p = 0.15. Can we approximate the p distribution by a normal distribution? Why? What are the values of µ; and o;?
Basic Computation: p Distribution Suppose we have a binomial experi- ment in which success is defined to be a particular quality or attribute that interests us. 33 and p = 0.21. Can we approximate the p distribution by (a) Suppose n = a normal distribution? Why? What are the values of µ, and o;? (b) Suppose n = 25 and p = 0.15. Can we safely approximate the p distribu- tion by a normal distribution? Why or why not? (c) Suppose n = 48 and p = 0.15. Can we approximate the p distribution by a normal distribution? Why? What are the values of µ; and o;?
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 8ECP: In Example 8, what is the probability that an employee chosen at random has 30 or more years of...
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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.
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