to put information together or in a category
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
They all describe data set or data sets,hey tell you how far apart they are from each other.
Science has not gone too far, humans have.
As far as I know, a pen drive can hold data for ever. i don't mean like for a millennium but you know what i mean,(A long lng time!!)
It shows us by telling us how far away it is from the mean.
what are numbers that are far from a data set
Far means (in science term) distance or if u are far away like across the world or nation something like that. Or another term if u went to far like for a date (going out boyfriend girlfriend). I hope that was helpful
The word Genio can mean the amount of intellect one has as far as science, music or art. It can also mean A spirit that can influence man and can appear as an animal.
Standard deviation determines how far away the data values are from the average.
A conclusion or assertion would be considered to be scientifically valid if the data are accurate and the reasoning based on that data is, as far as we can tell, correctly reasoned. Science does not deal in absolute truth, which is why scientists prefer the term valid, which indicates that as far as we presently know, this statement is true, although new data and/or new reasoning may cause us to change our minds in the future.
1.41
It means that all of the ten numbers are 15!Standard deviation tells you how spread out the data is from the mean value. Or in other words, it tells you how far the numbers in your data are away from the mean value.If the standard deviation is a high number, it means the data is largely spread out and that there are big differences in the data. The numbers in the data would be quite far from each other. For example, if you had data like: 8, 35, 13, 47, 22, 64, this would probably mean that you'll get a high standard deviation because each of the numbers are very spread out.On the other hand, if the standard deviation is small, it tells you that the numbers in the data are quite close together and that there is only a small difference between the numbers in the data. For example, if you had data like: 19, 25, 20, 22, 23, 18, this would probably mean that you'll get a low standard deviation because each of the numbers aren't that spread outIn the scenario you've given, the standard deviation is ZERO. This means that there is no spread or variation AT ALL with the numbers in your data. This means every single number in the data is the same.Since your mean is 15 and every number in your data is the same, that means that all the ten numbers in your data have to be 15!Hope that makes sense.Jamz159