Lines Matching refs:standard
370 …Text [ en-US ] = "Calculates the standard deviation of all cells in a data range whose contents ma…
410 …Text [ en-US ] = "Returns the standard deviation with regards to the population of all cells of a …
5059 Text [ en-US ] = "Calculates the standard deviation based on a sample." ;
5083 Text [ en-US ] = "Returns the standard deviation based on a sample. Text is evaluated as zero.";
5107 Text [ en-US ] = "Calculates the standard deviation based on the entire population." ;
5131 …Text [ en-US ] = "Returns the standard deviation based on the entire population. Text is evaluated…
5723 Text [ en-US ] = "Values of the distribution function for a standard normal distribution." ;
5739 Text [ en-US ] = "The value for which the standard normal distribution is to be calculated." ;
5747 Text [ en-US ] = "Returns the integral values of the standard normal cumulative distribution." ;
5763 …Text [ en-US ] = "The value for which the integral value of the standard normal distribution is to…
6019 Text [ en-US ] = "Standard deviation. The standard deviation of the normal distribution." ;
6067 Text [ en-US ] = "Standard deviation. The standard deviation of the normal distribution." ;
6075 Text [ en-US ] = "The values of the standard normal cumulative distribution." ;
6091 Text [ en-US ] = "The value for which the standard normal distribution is to be calculated." ;
6099 Text [ en-US ] = "Values of the inverse standard normal distribution." ;
6115 …Text [ en-US ] = "The probability value for which the inverse standard normal distribution is to b…
6155 …Text [ en-US ] = "The standard deviation of the log normal distribution. It is set to 1 if omitted…
6203 Text [ en-US ] = "Standard deviation. The standard deviation of the log normal distribution." ;
6930 Text [ en-US ] = "The standard deviation used for scaling." ;
7026 Text [ en-US ] = "The standard deviation of the population." ;
7074 …Text [ en-US ] = "The known standard deviation of the population. If omitted, the standard deviati…
7290 Text [ en-US ] = "Returns the standard error of the linear regression." ;