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Signed-off-by: Philipp Burckhardt <[email protected]>

lib/node_modules/@stdlib/stats/base/dists/negative-binomial/README.md

@@ -122,27 +122,27 @@ console.log(negativeBinomial.mean(r, p));
 
 // PMF can be used to calculate the probability of getting heads on a specific trial (say on the 8th trial):
 console.log(negativeBinomial.pmf(8, r, p));
-// => ~0.06042480468749999
+// => ~0.06
 
 // CDF can be used to calculate the probability up to a certain number of trials (say up to 8 trials):
 console.log(negativeBinomial.cdf(8, r, p));
-// => ~0.8665771484375
+// => ~0.867
 
 // Quantile can be used to calculate the number of trials at which you can be 80% confident that the actual number will not exceed:
 console.log(negativeBinomial.quantile(0.8, r, p));
 // => 7
 
 // Standard deviation can be used to calculate the measure of the spread of trials around the mean:
 console.log(negativeBinomial.stdev(r, p));
-// => ~3.1622776601683795
+// => ~3.162
 
 // Skewness can be used to calculate the asymmetry of the distribution of trials:
 console.log(negativeBinomial.skewness(r, p));
-// => ~0.9486832980505138
+// => ~0.949
 
 // MGF can be used for more advanced statistical analyses and generating moments of the distribution:
 console.log(negativeBinomial.mgf(0.5, r, p));
-// => ~2277.5972997372114
+// => ~2277.598
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/negative-binomial/examples/index.js

@@ -34,24 +34,24 @@ console.log(negativeBinomial.mean(r, p));
 
 // PMF can be used to calculate the probability of getting heads on a specific trial (say on the 8th trial):
 console.log(negativeBinomial.pmf(8, r, p));
-// => ~0.06042480468749999
+// => ~0.06
 
 // CDF can be used to calculate the probability up to a certain number of trials (say up to 8 trials):
 console.log(negativeBinomial.cdf(8, r, p));
-// => ~0.8665771484375
+// => ~0.867
 
 // Quantile can be used to calculate the number of trials at which you can be 80% confident that the actual number will not exceed:
 console.log(negativeBinomial.quantile(0.8, r, p));
 // => 7
 
 // Standard deviation can be used to calculate the measure of the spread of trials around the mean:
 console.log(negativeBinomial.stdev(r, p));
-// => ~3.1622776601683795
+// => ~3.162
 
 // Skewness can be used to calculate the asymmetry of the distribution of trials:
 console.log(negativeBinomial.skewness(r, p));
-// => ~0.9486832980505138
+// => ~0.949
 
 // MGF can be used for more advanced statistical analyses and generating moments of the distribution:
 console.log(negativeBinomial.mgf(0.5, r, p));
-// => ~2277.5972997372114
+// => ~2277.597