When the alternative hypothesis is formulatedin a large-sample statistical testas ₀, then your large-sample statistical test is a

One-tailed test

Two-tailed test

Type I test

Type II test

The manufacturer of a particular battery pack for laptop computers claims its battery packs can function for 9 hours, on the average, before having to be recharged. A competitor claims that the manufacturer's claim is too high. A random sample of 38 battery packs was selected and placed on test. The mean functioning time before having to be recharged was 7.5 hours with a standard deviation of 1.6 hours. Perform the appropriate test of hypothesis to determine whether the competitor is correct. Test using alpha = 0.05. Based on the test statistic, what can you conclude?

Test statistic = -35.62500000, so we should not reject the manufacturer's claim

Test statistic = -35.62500000, so we should reject the manufacturer's claim

Test statistic = -7.310095755, so we should reject the manufacturer's claim.

Test statistic = -5.779138128, so we should reject the manufacturer's claim.

Test statistic = -5.779138128, so we should not reject the manufacturer's claim.

It is known that 70% of the customers in a sporting goods store purchase a pair of running shoes. A random sample of 25 customers is selected. Assume that the customers' purchases are made independently. In this binomial distribution application, which Excel statement will find the probability of more than 5 customers purchasing a pair of running shoes?

=BINOMDIST(5,25,70%,FALSE)

=BINOMDIST(5, 25, 70%,TRUE)

=1-BINOMDIST(5,25,70%,FALSE)

=1-BINOMDIST(5,25,70%,TRUE)