code: def example_T():
      skewt = ACSkewT_gen()
      rvs = skewt.rvs(10, 0, size=500)
      print("sample mean var: ", rvs.mean(), rvs.var())
      print("theoretical mean var", skewt.stats(10, 0))
      print("t mean var", stats.t.stats(10))
      print(
          skewt.stats(10, 1000)
      )  # -> folded t distribution, as alpha -> inf
      rvs = np.abs(stats.t.rvs(10, size=1000))
      print(rvs.mean(), rvs.var())
  
file_path: statsmodels/statsmodels/sandbox/distributions/examples/ex_extras.py
imports: import numpy
  from scipy import stats
  from statsmodels.sandbox.distributions.extras import SkewNorm_gen, skewnorm, ACSkewT_gen, NormExpan_gen, pdf_moments, ExpTransf_gen, LogTransf_gen
  from statsmodels.stats.moment_helpers import mc2mvsk, mnc2mc, mvsk2mnc
label_desc: Use image node_id 2 for calling a global function with example usage: example_T() without return types