Hello, We've had some good discussion on Github PR 3991 <https://github.com/scipy/scipy/pull/3991> regarding namedtuple output. Warren raised the important issue of maintaining consistent names for the same stats across the module, ie, 'pvalue' versus 'p_value', or 'standard_errror'. I went through most of the scipy.stats module and wrote down some suggestions for what the attributes of the returned namedtuples could be. My notes can be found below. Feedback welcome for these names. Thanks, Clark The pattern returned for each element of bayes_mvs is important because it is an estimate with confidence interval. It might be even be worth exposing this one publicly. bayes_mvs: mean, variance, std_dev (center, (lower, upper)) -> estimate, minmax describe: n, minmax, mean, variance, skewness, exc_kurtosis mode: mode, count sigmaclip: clipped, lower, upper linregress: slope, intercept, rvalue, pvalue, stderr anderson: stat, critical_vals, sig_level Note `shapiro` doesn't follow the pattern below normaltest: stat, pvalue skewtest: stat, pvalue kurtosistest: stat, pvalue f_oneway: stat, pvalue ttest_1samp: stat, pvalue ttest_ind: stat, pvalue ttest_rel: stat, pvalue kstest: stat, pvalue ks_2samp: stat, pvalue power_divergence: stat, pvalue mannwhitneyu: stat, pvalue ranksums: stat, pvalue wilcoxon: stat, pvalue kruskal: stat, pvalue friedmanchisquare: stat, pvalue ansari: stat, pvalue bartlett: stat, pvalue levene: stat, pvalue spearmanr: correlation, pvalue pointbiserialr: correlation, pvalue kendalltau: correlation, pvalue cumfreq: cumcount, lowerlimit, binsize, extrapoints histogram: count, lowerlimit, binsize, extrapoints relfreq: frequency, lowerlimit, binsize, extrapoints binned_statistic: stat, bin_edges, binnumber binned_statistic_2d: stat, x_edge, y_edge, binnumber binned_statistic_2d: stat, bin_edges, binnumber