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  • Categorical data

Fisher's, Chi square, McNemar's, Sign test, CI of proportion, NNT (number needed to treat), kappa.

 

  • Continuous dat

Descriptive statistics, detect outlier, t test, CI of mean/difference/ratio/SD, multiple comparisons tests, linear regression.

 

  • Statistical distributions and interpreting P value

Calculate P from t, z, r, F or chi-square, or vice-versa. ViewBinomial, Poisson or Gaussian distribution. Correct a P value for multiple comparisons and Bayes.

 

  • Random numbers

Assign subjects to groups, simulate data.

 

  • Chemical and radiochemical data

Create and convert molar solutions, convert moles & grams,  radioactivity calculations.

 

 

 

 

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