Streaming service pays content suppliers to drive traffic to their website. As a content provider you can earn a significant bonus if you can generate more than 320 visits per hour on average. You plan on paying for Facebook ads in the hope that it will generate enough traffic to your Streaming channel to qualify for the bonus. You run 15 hours worth of ads and monitor the number of hourly visits your channel receives. Your sample results are contained in the Excel file that accompanies this question on Moodle. It is known from past experience that the population variance of hourly visits is 3000. You decide to design and run an appropriate hypothesis test to determine if the Facebook ads will generate enough traffic to qualify your Streaming for the bonus. use alpha = .07 The test you design is as follows Ho: U=320 Ha: U>320 Reject Ho if Z > Z (.07) What is the probability that your test will commit a type two error, if the true mean number of hourly channel visits generated by running Facebook ads is actually 321 hits per hour?

	# channel visits
Hour	While running Facebook ads
1	311
2	416
3	302
4	314
5	258
6	321
7	282
8	329
9	441
10	415
11	425
12	348
13	393
14	307
15	315