answersLogoWhite

0

What else can I help you with?

Related Questions

What Anomalous data on a graph shows what?

An Outlier; an Outlier is when a point is not part of a trend (pattern)


If you take off the outlier does it make the mean change?

Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.


Can you have more than one outlier in a set of data?

Yes, any data point outside thestandard deviation its an outlier


What is the difference between insertion point and cursor?

What is the deference between Insertion Point and Pointers?


What is the difference between Aniline Point and Mixed Aniline Point?

There is no any such difference between Aniline point and mixed Aniline point . . . . .


What is out outlier?

A data point that is significantly outside of the rest of the trend.


Is an outler a false data point?

No because an outlier is an extreme data point that can almost be ignored.


What is the difference between an initial point of a vector and a terminal point?

The difference is the length of the vector.


How can use a box-and-whisker plot to find the range of a data set?

The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.The leftmost point is the minimum value.The rightmost point is the maximum value.The difference between them is the range.


What is a data point called that stands out away from all of the rest of the data?

An outlier


How does the outlier effect the mean absolute deviation?

An outlier can significantly affect the mean absolute deviation (MAD) by increasing its value. Since MAD measures the average absolute differences between each data point and the mean, an outlier that is far from the mean will contribute a larger absolute difference, skewing the overall calculation. This can lead to a misleading representation of the data's variability, making it seem more dispersed than it actually is for the majority of the data points. Consequently, the presence of outliers can distort the interpretation of the data's consistency and spread.


Difference between single-point cutting tool use in lathe and shaping machine?

explain the difference between single point & multi point cutting tool