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 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 Ha? Pick Should Ho be rejected or does Ho fail to be rejected? Pick V 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%.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 45 Observations 120 Pick Confidence Level 99% Critical value -2.58 What Pick test statistic (z) -2.74 The number of customers in the sample who made a purchase on the site p-value 0.006 The number of customers sampled What is the level of significance? The proportion of all customers in the sample who made a purchase on the site What is the null hypothesis Ho? The proportion of all customers who made a purchase on the site 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 v idence exists to support the claim that the number of customers who visit the site and make a purchase is not 50%.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 ofthe sample are shown below. Customer sample made a purchase 45 Observations 120 Condence Level 99% Critical value -2.58 test statistic [z] -2.?4 p-value 0.006 What is the population parameter? I Pick ' What condition for using a z-distribution is met? I Pick V What is the level of signicance? PiCk What is the null hypothesis H0? A simple random sample of more than 30 customers was taken. The sample taken was a simple random sample. What is the alternative hypothesis The true population proportion is known. Should H0 be rejected or does H0 fail to be rejected? I Pick v What conclusion can be drawn from the data? I Pick v idenoe exists to support the claim that the number of customers who visit the site and make a purchase is not 50%. 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 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 V What is the level of significance? Ex: 0.12 C What is the null hypothesis Ho? Pick Pick What is the alternative hypothesis V p 0.50 Pick v idence exists to P # 0.50 him that the number of customers who visit the site and make a purchase is not 50%.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 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 V What is the level of significance? Ex: 0.12 $ What is the null hypothesis Ho? Pick What is the alternative hypothesis Ha? Pick Pick Should Ho be rejected or does Ho fail t Pick p 0.50 at the number of customers who visit the site and make a purchase is not 50%. p # 0.50An 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 sampie made a purchase 45 Observations 120 Con dence Level 99% Critical value 4.58 test statistic [z] -2.74 p-value 0.006 What is the level of signicance? Ex: 0.12 v What is the population parameter? I Pick ' What condition for using a zdistribution is met? I Pick v A What is the null hypothesis H0? I Pick v What is the alternative hypothesis Ha? I Pick v Should H0 be rejected or does H0 fail to be rejected? I Pick v What conclusion can be drawn from the data? PICK . . . Reject \"0 . . . I Pick v Idence eXIsts to support the claim the _ _ mers who VlSlt the site and make a Fall to reject H0 purchase is not 50%. 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 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 C What is the null hypothesis Ho? Pick 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 v idence exists to support the claim that the number of customers who visit the site and make a Pick rchase is not 50%. Insufficient 1 Sufficient