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.

What is the level of significance?

What is the null hypothesis H0?

What is the alternative hypothesis Ha?

Should H0 be rejected or does H0 fail to be rejected?

What conclusion can be drawn from the data?

What is the population parameter?

What condition for using a z-distribution is met?

evidence exists to support the claim that the number of customers who visit the site and make a purchase is not 50%.

Pick 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 The proportion of all customers who made a purchase on the site

Pick A simple random sample of more than 30 customers was taken. The sample taken was a simple random sample. The true population proportion is known.

Pick p < 0.50 p = 0.50 p > 0.50 p 0.50

Pick p < 0.50 p = 0.50 p > 0.50 p 0.50

Pick Reject H Fail to reject H

Customer Sample

Make a purchase 45

Observations 120

Confidence level 99%

Critical value -2.58

test statistic (z) -2.74

p-value 0.006