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Prism finds a close confidence level, and reports what it is. For example, you might get a 96.2% confidence interval when you asked for a 95% interval. Prism ...

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Chapter 16 explains how common Type I errors are, and the difference between a significance level and the false discovery rate. ... Ordinal, interval and ratio ...

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... interval, and a 2.5% chance that the true proportion is higher than the ... What are binomial variables. Contingency tables; Compare observed and ...

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If you have more proportions that you wish to compute a confidence interval for, enter them into more columns of the data table. ... What are binomial variables.

https://www.graphpad.com/guides/prism/latest/statistics/

... interval. Standard errors are more ... Prism can also quantify multicollinearity -- how well each variable can be predicted from the other variables.

https://www.graphpad.com/guides/prism/latest/curve-fitting/

The upper half extends from 35 up to 150, a much longer range of values on a linear scale but the same distance on a logarithmic scale. ... interval of the ...

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Error bars that show the 95% confidence interval (CI) are wider than SE error bars. ... With multiple comparisons following ANOVA, the significance level usually ...

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The Tukey multiple comparison tests set the 5% level of significance to the entire family of six comparisons. But five of those six comparisons don't ...

https://www.graphpad.com/guides/prism/latest/statistics/

Prism now offers a choice of method to use when computing confidence intervals. •CI of the relative risk. The method of Katz is an approximation, and we suggest ...

https://www.graphpad.com/guides/prism/latest/statistics/

The residuals need to be approximately normally distributed to get valid statistical inference such as confidence intervals, coefficient estimates, and p values ...

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