In this lesson on hypothesis testing, the focus is on determining the probability of getting a result that is far from the mean, given that the mean temperature of all human beings is assumed to be 98.6 degrees. By finding the area in the tail and doubling it, we get the p-value or the probability of getting something that far away from the mean. This value is then used to determine whether to reject or accept the null hypothesis. Through this process, we learn that the average human temperature is not 98.6 degrees, with only a 4.8% chance of being wrong.
Part 2 of the explanation of hypothesis testing in college statistics.
Produced by Kent Murdick
Instructor of Mathematics
University of South Alabama