Suppose that
22%
of the modifications proposed to improve browsing on a Web site actually do improve customers' experience. The other
9898%
have no effect. Now imagine testing
100100
newly proposed modifications. It is quick and easy to measure the shopping behavior of hundreds of customers on a busy Web site, so each test will use a large sample that allows the test to detect real improvements. The tests use independent samples, and the level of significance is
alphaαequals=0.050.05.
Complete parts (a) through (c) below.
Question content area bottom
Part 1
(a) Of the
100100
tests, how many would you expect to reject the null hypothesis that claims the modification provides no improvement?
6.96.9
(Round to the nearest integer as needed.)