def _get_signif_4(arr, nboots):
    """
    returns a list of stats and an array of dstat boots. Stats includes
    z-score and two-sided P-value. 
    """
    abba, baba, dst = _prop_dstat(arr)
    boots = _get_boots(arr, nboots)
    estimate, stddev = (boots.mean(), boots.std())
    zscore = 0.
    if stddev:
        zscore = np.abs(dst) / stddev
    stats = [dst, estimate, stddev, zscore, abba, baba, arr.shape[0]]
    return np.array(stats), boots
def _get_signif_4(arr, nboots):
    """
    returns a list of stats and an array of dstat boots. Stats includes
    z-score and two-sided P-value. 
    """
    abba, baba, dst = _prop_dstat(arr)
    boots = _get_boots(arr, nboots)
    estimate, stddev = (boots.mean(), boots.std())
    zscore = 0.
    if stddev:
        zscore = np.abs(dst) / stddev
    stats = [dst, estimate, stddev, zscore, abba, baba, arr.shape[0]]
    return np.array(stats), boots
def _get_signif_4 ( arr , nboots ) : abba , baba , dst = _prop_dstat ( arr ) boots = _get_boots ( arr , nboots ) estimate , stddev = ( boots . mean ( ) , boots . std ( ) ) zscore = 0. if stddev : zscore = np . abs ( dst ) / stddev stats = [ dst , estimate , stddev , zscore , abba , baba , arr . shape [ 0 ] ] return np . array ( stats ) , boots
returns a list of stats and an array of dstat boots. Stats includes
    z-score and two-sided P-value.
returns a list of stats and an array of dstat boots . Stats includes z - score and two - sided P - value .