Suppose the null hypothesis, h0, is: the mean age of the horses on a ranch is 6 years. what is the type ii error in this scenario?

The type II error in statistical hypothesis testing, refers to the non-rejection of a false null hypothenuse, because it means there was an error in the data analysis or the sample is not representative enough.

In this case, we would have a type II error if there is the mean age of the horses is not 6 years, and the researcher gets a result where he or she cannot reject this false null hypothesis.

In other words, the analysis doesn't match the phenomenom.

Additionally, type II error is know as false negative.

19

step-by-step explanation:

6,250

step-by-step explanation:

to get the area, multiply 360 by 160.(57,600)

to find out how many bags of fertilizer it will take, first figure out how many square feet one bag can hold. divide 1000 by 8(125) to get the unit rate(how many square feet one pound of fertilizer can hold)and multiply it by 50(6250). if i haven't made a mistake, that is the answer.