Study guides

☆☆

Q: What Is data that does not fit with the rest of the data set?

Write your answer...

Submit

Still have questions?

Continue Learning about Other Math

You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.

The answer will depend on the set of data!

It is simply a data set.

Is a wriggly curve that goes through each one of them.

Range subtracts the lowest value from the value in your data set. If you have an outlier, meaning a number either obviously outside the data, your range will be incorrect because one of the values will not represent the average pattern of the data. For example: if your data values include 1,2,3,4,and 17, 17 would be the outlier. The range would be 16 which is not truly representative of the rest of the data.

Related questions

Data that does not fit with the rest of the data set.

No.

They are called extreme values or outliers.

Outliers

Quartile

Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!

Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!

It is a value which appears not to fit in with the other data elements.

Lost data can not be regained. There may be techniques to infer the missing data from the rest of that data but it would be domain specific and you may not be able to derive meaningful statistics from such a data set.

When a function or given data set differes from a liniar curve fit. the difference between the data and a linear curve fit is your linearity error

A set of data is a set of nuumbers .

A best-fit line is the straight line which most accurately represents a set of data/points. It is defined as the line that is the smallest average distance from the data/points. Refer to the related links for an illustration of a best fit line.

People also asked