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.

four boxes of pizza

hope this

ending amount = beginning amount / (2^n)

where "n" = number of half-lives (or elapsed time / half-life)

ending amount = 50 mg / (2 ^10 / 5.3)

ending amount = 50 mg / (2 ^ 1.8867924528)

ending amount = 50 m / 3.6981210597

ending amount = 13.5203794557 mg

or about 13.5 mg remain

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