Suppose that for a particular hypothesis test, the consequences of a type i error are not very serious, but there are serious consequences associated with making a type ii error. would you want to carry out the test using a small significance level α (such as 0.01) or a larger significance level (such as 0.10)? explain the reason for your choice.

We want to reduce type II error we carry out the test using a larger significance level (such as 0.10) and not a small significance level α (such as 0.01).

Step-by-step explanation:

Type I error

It is given that the consequences of a Type I error are not very serious, but there are serious consequences associated with making a Type II error.

Type II error

Since, we want to reduce type II error we carry out the test using a larger significance level (such as 0.10) and not a small significance level α (such as 0.01).

This will increase type I error but that is okay since we do not have serious consequences for it.

if you are saying purchasing 3 social media ads and one newspaper ad counts as one purchase then there are:

6 purchases

if you are asking how many of each then:

18 social media ads

6 newspaper ads

step-by-step explanation:

because it just is