Section 7.1: Basics of Hypothesis Testing To understand the process of a hypothesis test, you need to first have an understanding of what a hypothesis is, which is an educated guess about a parameter. Now if someone claims the value of a parameter is some specified value, and you have no reason to doubt that, then you're done. However, if you feel you have evidence that shows that the hypothesized value is incorrect, then you would perform a hypothesis test. If not so unusual results, then Did we get an don't reject unusual or a the claim not so about the A claim is Sample data unusual population made about are collected sample result, the from that assuming the population population claim about If unusual the results, then population is reject the true claim about the population Once you collect the data, you then determine if that sample result is unusual or not using the methods from the previous chapters. The last few sections of chapter 6 were preparing you for these probability computations. . If you have data, there will be some claimed value of for the population, you will compute some value of_from the collected sample data and then use the distribution as an approximation to the sampling distribution of the to compute a probability. If you have data, there will be some claimed value of for the population, you will compute some value of_from the collected sample data and then use the distribution as an approximation to the sampling distribution of the to compute a probability (we will also get another distribution for quantitative data in this chapter called the t-distribution)