# •Suppose the mean of your sample is 72 inchesDoes this...

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Sec 6.2 - Tests of Significance(Signifigance Tests)Definition: A significance test is a formal procedure for comparing observed data with a hypothesis whose truth we want to assess.Example #1:You found a document that says the mean height of students on campus is 62 inches. Take a SRS of size 1. Suppose the mean of your sample is 72 inches.Does this provide you with evidence that the document is incorrect?
Suppose the mean of your sample is 72 inches.Does this provide you with evidence that the document is incorrect?
Suppose the mean of your sample is 72 inches.Does this provide you with evidence that the document is incorrect?Example #2:
Suppose the mean of your sample is 62.01 inches.Does this provide you with evidence that the document is incorrect?
Suppose the mean of your sample is 61.5 inches.Does this provide you with evidence that the document is incorrect?
Suppose the mean of your sample is 63 inches.Does this provide you with evidence that the document is incorrect?
Suppose the mean of your sample is 72 inches.Does this provide you with evidence that the document is incorrect?
Idea:1.Make a guess (hypothesis) about the value of a parameter.2.Take a sample from your population.3.Calculate your corresponding statistic. 4.Ask a yourself some questions:Is the statistic different enough from your guess, to make you believe your guess is wrong?