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... data well. Many non-normal models have been developed to provide inference procedures too. ...
... data well. Many non-normal models have been developed to provide inference procedures too. ...
Section 9.3 T-test, Matched Pairs T-test
... the large sample size (and the fact that there are no outliers) makes it OK to use t procedures. ...
... the large sample size (and the fact that there are no outliers) makes it OK to use t procedures. ...
Robust nonparametric statistical methods.
... Researchers frequently fail to check whether the data they are analyzing meet the assumptions underlying classic parametric tests This may be due to forgetfulness or not knowing how to check assumptions. ...
... Researchers frequently fail to check whether the data they are analyzing meet the assumptions underlying classic parametric tests This may be due to forgetfulness or not knowing how to check assumptions. ...
Statistics - Cloudfront.net
... •The student’s t test is a statistical method that is used to see if to sets of data differ significantly. •The method assumes that the results follow the normal distribution (also called student's t-distribution) if the null hypothesis is true. •This null hypothesis will usually stipulate that ther ...
... •The student’s t test is a statistical method that is used to see if to sets of data differ significantly. •The method assumes that the results follow the normal distribution (also called student's t-distribution) if the null hypothesis is true. •This null hypothesis will usually stipulate that ther ...
Week9
... described as highly significant. • When a test is significant at the 5% level it is described as significant. • A decision such as this one can therefore be based on how confident the company wanted to be that they were making the right decision (based on this sample data). ...
... described as highly significant. • When a test is significant at the 5% level it is described as significant. • A decision such as this one can therefore be based on how confident the company wanted to be that they were making the right decision (based on this sample data). ...
