def test_samplevar(self): "Testing samplevar" data = [self.L, self.A] for d in data: self.assertEqual(stats.samplevar(d), 33.25)
def test_samplevar(self): "Testing samplevar" data = [ self.L, self.A ] for d in data: self.assertEqual( stats.samplevar( d ), 33.25 )
print(stats.relfreq(lf)) print(stats.relfreq(a)) print(stats.relfreq(af)) print('\nVARIATION') print('obrientransform:') l = list(range(1, 21)) a = N.array(l) ll = [l] * 5 aa = N.array(ll) print(stats.obrientransform(l, l, l, l, l)) print(stats.obrientransform(a, a, a, a, a)) print('samplevar:', stats.samplevar(l), stats.samplevar(a)) print('samplestdev:', stats.samplestdev(l), stats.samplestdev(a)) print('var:', stats.var(l), stats.var(a)) print('stdev:', stats.stdev(l), stats.stdev(a)) print('sterr:', stats.sterr(l), stats.sterr(a)) print('sem:', stats.sem(l), stats.sem(a)) print('z:', stats.z(l, 4), stats.z(a, 4)) print('zs:') print(stats.zs(l)) print(stats.zs(a)) print('\nTRIMMING') print('trimboth:') print(stats.trimboth(l, .2)) print(stats.trimboth(lf, .2)) print(stats.trimboth(a, .2))
print stats.relfreq(lf) print stats.relfreq(a) print stats.relfreq(af) print '\nVARIATION' print 'obrientransform:' l = range(1,21) a = N.array(l) ll = [l]*5 aa = N.array(ll) print stats.obrientransform(l,l,l,l,l) print stats.obrientransform(a,a,a,a,a) print 'samplevar:',stats.samplevar(l),stats.samplevar(a) print 'samplestdev:',stats.samplestdev(l),stats.samplestdev(a) print 'var:',stats.var(l),stats.var(a) print 'stdev:',stats.stdev(l),stats.stdev(a) print 'sterr:',stats.sterr(l),stats.sterr(a) print 'sem:',stats.sem(l),stats.sem(a) print 'z:',stats.z(l,4),stats.z(a,4) print 'zs:' print stats.zs(l) print stats.zs(a) print '\nTRIMMING' print 'trimboth:' print stats.trimboth(l,.2) print stats.trimboth(lf,.2) print stats.trimboth(a,.2)
def evaluate(self, *args, **params): return _stats.samplevar(*args, **params)
print stats.relfreq(lf) print stats.relfreq(a) print stats.relfreq(af) print '\nVARIATION' print 'obrientransform:' l = range(1, 21) a = N.array(l) ll = [l] * 5 aa = N.array(ll) print stats.obrientransform(l, l, l, l, l) print stats.obrientransform(a, a, a, a, a) print 'samplevar:', stats.samplevar(l), stats.samplevar(a) print 'samplestdev:', stats.samplestdev(l), stats.samplestdev(a) print 'var:', stats.var(l), stats.var(a) print 'stdev:', stats.stdev(l), stats.stdev(a) print 'sterr:', stats.sterr(l), stats.sterr(a) print 'sem:', stats.sem(l), stats.sem(a) print 'z:', stats.z(l, 4), stats.z(a, 4) print 'zs:' print stats.zs(l) print stats.zs(a) print '\nTRIMMING' print 'trimboth:' print stats.trimboth(l, .2) print stats.trimboth(lf, .2) print stats.trimboth(a, .2)