O testing the fairness via binomial distribution if

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o Testing the fairness via binomial distribution If probability is less than alpha, the null hypothesis is rejected and if the probability is greater than alpha, you fail to reject the null hypothesis Note: Ex.5_20 contains the code for hypothesis testing and confidence interval for non normal small data 01/30/2017 Independent vs Dependent Sample Independent Sample=knowledge about members of the samples tells you nothing about members of other (no “link”) Dependent=There is a “link” typing each member of one group to a member in the other group. Also known as paired data Solutions to BB problems: DIIDDI Ex. 6.3 Mu0: mean worm count in the untreated sheep Mu1: mean worm count in the treated sheep H0: Mu0-Mu1</ 0 H1: Mu0-Mu1>0 Conduct hypothesis testing at alpha =.05 and calculate 95% confidence interval SAS note: addition of category for box plot assessing normality and class for proc univariate (very that BOTH sample’s parent population is approximately normal) Equality of Variance Assessment High p-value (greater than alpha) indicates that you fail to reject the claim that variance is equal, allowing you to move forward with the flowchart When the p-value (shown under "Pr>F") is greater than 0.05, then the variances are equal then read the "Pooled" section of the result 2
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When the p-value (shown under "Pr>F") is no more than 0.05, then the variances are unqueal then read the "Satterthwaite" section of the result 3
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  • Spring '19
  • Statistics, Statistical hypothesis testing, Mazda

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