Examples of using Data points in English and their translations into Thai
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
So let's first put all the data points in.
You add up all the data points and you divide by the number there are.
And then you divide it by the number of data points you have.
Configure your data points and set points from Cumulocity IoT for prevalent fieldbus protocols like Modbus, CAN bus and OPC-UA.
They're saying that there are n data points in this sample.
But the simplest way to think about it is really truly independent data points.
Assign one or more data points to a barcode format;
And then we divide by the total number of data points we have.
If let's say all of our data points were measured in meters, right?
Hours continuous glucose monitor(CGM) can not miss vital data points.
Below you will find 188,000 data points across more than 900 VPN providers.
What I want to do in this video is figure out the r squared for these data points.
But when you have an odd number of data points, then you can just take the middle one.
What I'm going to do is add up all my data and divide by the number of data points.
And the standard deviation of these 10 data points right here is 2.98, the sample standard deviation.
But it's a particular type of sample varience where we just divide by the number of data points we have.
Our robust data points, insider network and vast experience of handling past satisfied clients ensures you always get the best recommendation.
And then you divide by the number of data points you added.
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.
You get 21 divided by the total number of data points, 1, 2, 3, 4, 5.
Similarly, cost of electricity from the grid, fuel price for the transportation fleet are all data points.
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.
And it's going to be all of that-- I know it looks a little bit funny-- divided by the number of data points we have-- divided by 5.
Which was a measure of how dispersed or how much the data points vary from the mean.
Take the square of that difference and then add up the squares of all those differences and then divide by number of data points you have.
NOAA-ESRL and Scripps CO2 provide continually-updated graphics with daily and weekly data points plotted over multiple time periods.
Well the sample, which we would denote by lower case x with a bar over it, is just the sum of all these divided by the number of data points we have.
Even in 2006, this data point looks higher than, than these data points right over here.
I'm finding the difference between every data point and the mean, squaring them, summing them up, and then dividing by that number of data points.
Get the calculator out, so I'm going to add them all up,one plus three plus five, plus seven plus fourteen, so that's five data points and I'm gonna divide by five, and I get six.