The significance level is 0. Hi Muhammad,Im a bit confused by your first question. Visit Website am trying to come up a reference range that says: These patients will respond to symptoms when in the following blood concentrations (eg 5-25 mcg/mL).  
Kruskal Wallis test is used to compare the continuous outcome in greater than two independent samples. Decision Criteria: Reject the null hypothesis if W critical value.

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Because you have a control and treatment group, I recommend Dunnetts method. The output for one of the methods (Mann-Whitney) is shown above. Usually, if the it is not significant, you dont include it in the model. (2010)

John D.

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Decision Rule: Reject the null hypothesis if the smaller of number of the positive or the negative signs are less than or equal to the critical value from the table. Usually, when the assumptions of parametric tests are violated then non-parametric tests are used. In our thought experiment, we know that the test result is incorrect but in the real world you never know that for sure. )
Can you throw some light,please?Hi Jim!
A researcher conducted a research that majority of people who died during pandemic bought a new phone during last year.

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Amazing thanks!Hi Jim, Thanks so much for explaining this all!
I want to compare the ages of two groups I have (one is only 17 people and one is 51 people). You can use these parametric tests with nonnormally distributed data thanks to the central limit theorem. However, if theory strongly suggests that it should be in the model, it is ok to include it even when the p-value is greater than 0. Look forward to hearing from you. A non-parametric test can be defined as a test that is used in statistical analysis when the data under consideration does not belong to a parametrized family of distributions.

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I am confused as i have read some articles (from old to new articles) suggesting that spearman is strictly meant for analysing ranked data. For power reasons, youll want to use a parametric test when its valid. It does not rely on any data referring to any particular parametric group of probability distributions. Please reply immediately. Youll find your answers there!Wonderful articlelove all your articles😃Thank you, Mohammad! That means a lot to me!I have benefited from your information. Its true that nonparametric tests dont require data that are normally distributed.

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For more information and an example of Welchs with this post-hoc test, read my post on Welchs ANOVA. Great article, thank you
But may I ask when to say its better to choose the mean or the median as the best measure of central tendency for my data? is there any guide?Hi Maria,Thanks for writing! In my post about measures of central tendencies, I write about which measure is best for different situations, including choosing between the mean and median. Here the test statistic is denoted by H and is given by the following formula. Could you please provide any formal reference for the table of minimum sampling size?
Thanks a lot!
BenThanks a lot for the valuable information, but may I ask how much do you More Bonuses by tiny size of data, are they less than 30?Thank you. .

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