Two tailed hypothesis testing for a population proportion (one sample)- What is the population parameter (The number of customers in the sample who made a purchase on the site, the number of customers sampled, the proportion of all customers in the sample Who made a purchase on the site, or the proportion of all customers who made a purchase on the site)- What condition for using z distribution is met? (A simple random sample of more than 30 customers was taken, the sample taken was a simple random sample, or the true population proportion is known)-what is the alternative/ null hypothesis ( p0.50, or p?0.50)-what conclusion can be drawn from the data? ( insufficient or sufficient)........

An online retailer would like to know whether the proportion of customers who visit the site and make a purchase is 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 59 Observations 100 Pick Confidence Level 95% Critical value 1.95 What condition for using a z-distribution is met? test statistic (z) 1.8 p-value 0.072 Pick What is the level of significance? Ex: 0.12 What is the null hypothesis Ho? Pick C What is the alternative hypothesis Ha? Pick Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that the number of customers who visit the site and make a purchase is not 50%