stats.proportion.proportions_ztost()
statsmodels.stats.proportion.proportions_ztost
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statsmodels.stats.proportion.proportions_ztost(count, nobs, low, upp, prop_var='sample')
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Equivalence test based on normal distribution
Parameters: count : integer or array_like
the number of successes in nobs trials. If this is array_like, then the assumption is that this represents the number of successes for each independent sample
nobs : integer
the number of trials or observations, with the same length as count.
low, upp : float
equivalence interval low < prop1 - prop2 < upp
prop_var : string or float in (0, 1)
prop_var determines which proportion is used for the calculation of the standard deviation of the proportion estimate The available options for string are ‘sample’ (default), ‘null’ and ‘limits’. If prop_var is a float, then it is used directly.
Returns: pvalue : float
pvalue of the non-equivalence test
t1, pv1 : tuple of floats
test statistic and pvalue for lower threshold test
t2, pv2 : tuple of floats
test statistic and pvalue for upper threshold test
Notes
checked only for 1 sample case
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.stats.proportion.proportions_ztost.html