Sentence examples for all data points are from inspiring English sources

at each iteration until all data points are within this range.

All data points are weighted equally and NBP (normal boiling point) is used as a fixed point since the NBP is important for refrigeration applications.

The lc_sigma_clip routine provided by the lightcurves.py script performs an iterative sigma-clipping algorithm, removing those points that fall outside +/-3 sigma from the mean at each iteration until all data points are within +/-3 sigma (the number of sigma used to clip the data defaults to 3 but can be changed).

All data points are the mean value of twenty samples with a standard deviation of <0.5.

Experiments were performed in triplicate, and all data points are shown.

Here, all data points are assumed to be independent and identically distributed.

All data points were fitted with the general three-level model (dotted).

All data points were fitted following the general three-level model for the fluorescence CRM=AIe/(1+Ie/Is), with A (=0.82) the pre-factor, Is (=6.5 μW) the saturation intensity and Ie the excitation intensity37.

All data points were retained for non-parametric linear regression analysis.

Overall, the error rate for all data points was maintained at less than 0.25%%.

The weights of all data points were set equal after flattening square values of each data point.