statsmodels.stats.oneway.EquivalenceOnewayResult#

class statsmodels.stats.oneway.EquivalenceOnewayResult(statistic, pvalue, effectsize, crit_f, crit_es, reject, power_zero, df, f_stat, type_effectsize)[source]#

Result of equivalence_oneway_generic and equivalence_oneway.

Parameters:

statisticfloat: F-statistic used for the equivalence test, same value as f_stat.
pvaluefloat: p-value of the equivalence test.
effectsizefloat: Estimated effect size, in the units given by type_effectsize.
crit_ffloat: Critical value for the F-statistic at the boundary of the equivalence margin.
crit_esfloat: Critical value for the effect size at the boundary of the equivalence margin, in the same units as effectsize.
rejectbool: True if the null hypothesis of non-equivalence is rejected, i.e. the data supports equivalence within equiv_margin.
power_zerofloat: Power of the equivalence test if the true effect size were zero.
dftuple: Degrees of freedom (df1, df2) of the F-distribution used for the test.
f_statfloat: F-statistic used for the equivalence test, same value as statistic.
type_effectsizestr: Description of the effect size type used for effectsize and crit_es, determined by margin_type.

Attributes:

crit_es
crit_f
df
effectsize
f_stat
power_zero
pvalue
reject
statistic
type_effectsize

Notes

Unpacks as statistic, pvalue = result. Other values are only accessible using attributes.

Methods

Properties

`statistic`
`pvalue`
`effectsize`
`crit_f`
`crit_es`
`reject`
`power_zero`
`df`
`f_stat`
`type_effectsize`