Examples of using Data points in English and their translations into Thai
{-}
-
Colloquial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
then maybe you would divide by the number of data points you have.
That is being calculated for each of our data points, so starting with our first data point in each of our samples, going to nth data point in each of the samples, we're taking our data point, subtracting out the sample mean squaring it and dividing the whole thing not by n-1, but by lower case n.
Excel reports are ideal for those of you that like to crunch the numbers or add your media coverage to additional data points. Easily filter between different media types or media outlets, or identify media items that have an ASR above a particular figure- all of this and more is possible with Excel.
This can't be the data point.
So our smallest data point starts at 1.
And then our largest data point is 22.
And then using this extra data point, we solved for k.
So instead of taking the distance between each data point and the mean of means.
Google will always need a data point to fall back on.
The difference between that data point, The difference between that data point and our sample mean.
So that first Data point plus the second data point.
This can't be the data point. This technology is ancient.
Discuss certain data point in charts and graphs.
So we take the sum of every data point.
And that is equal to-- You take each data point-- And we will call them x sub i.
So this is the ith data point: so x sub 1 plus x sub 2 all the way to x sub capital N.
We start at the first data point and we go all the way to the capital Nth data point.
We figured out the sum of squares between each data point and its central tendency, its sample mean, we figure out and we totaled it all up, we got 6 for the sum of squares within.
Technological developments and multi data point integration will help Isentia clients find the signal amongst the noise of their media coverage to predict patterns and create strategies that maximise opportunities or minimise risk.
I'm going to find the distance between each data point and that group's mean because we want to square the total sum of squares between each data point and their respective means 3 minus the mean here, it's 2.