An online retailer would like to know whether the proportion of customers who visit the site and make a purchase different than 50%. A simple random sample of customers is taken. The results of the sample are shown below. Customer sample What is the population parameter? made a purchase 45 Observations 120 Pick Confidence Level 99% Critical value -2.58 What condition for using a z-distribution is met? test statistic (z) -2.74 p-value 0.006 Pick What is the level of significance? Ex: 0.12 What is the null hypothesis Ho? Pick What is the alternative hypothesis H? Pick Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? evidence exists to support the claim that the number of customers who visit the site and make a purchase is not 50%. Pick

Q: I just need problem 2

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A: Apologies for the inconvenience.   We graph the given equations using graphing calculator.

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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.