If the null hypothesis were true, there would be only a probability of obtaining a value of the test statistic that would be at least this extreme. This value represents the cutoff point for the test statistic. Step 4: Find the critical value of the test. The bigger the p-value, the weaker the evidence against the null hypothesis. Step 3: State the test statistic P-value, that will use to conduct the SAS hypothesis testing. Also, this will use to assess the truth of the null hypothesis. This represents the amount of evidence that is being used to make a decision. Step 2: State the size(s) of the sample(s). The null hypothesis represents the negative of what the researcher is trying to prove.Įxample- In a criminal trial in the justice system, the null hypothesis is that the defendant is innocent the alternative is that the defendant is guilty either the judge rejects the null hypothesis if they find that the prosecution has presented convincing evidence, or the jury fails to reject the SAS null hypothesis if they find that the prosecution has not presented convincing evidence. The alternative hypothesis represents what the researcher is trying to prove. Step 1: State the null hypothesis testing in SAS, H 0, and the alternative hypothesis, H a. Here, we are discussing how to use Hypothesis Testing in SAS Programming Language. Join DataFlair on Telegram!! Steps in SAS Hypothesis Testing Stay updated with latest technology trends
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