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inlier, outlier The terms 'inlier' and 'outlier' each describe a situation where a outcrop of one type of rock appears at the surface completely surrounded by another. This is usually a result of erosion having removed part of an overlying rock unit from an underlying unit. An inlier is then an isolated region of underlying rock exposed by erosion of the overlying units, whereas an outlier is an isolated remnant of overlying rock that has survived the erosion that has stripped it away everywhere else to reveal the underlying rocks. In regions of flat-lying or gently dipping strata, inliers tend to occur in valley bottoms whereas the hilltops may be occupied by outliers. Where the strata have been strongly folded prior to erosion these simple topographic relationships do not necessarily apply, and it is possible to have an inlier preserved in the core of an anticline occupying high ground or an outlier preserved in the core of a syncline occupying low ground. Inliers and outliers can also be generated by fault move-ments followed by erosion. For example, if an older unit is thrust over a younger unit erosion can isolate part of the thrust sheet, leaving an outlier of older rock surrounded by younger rock (a reversal of the usual age relation-ship). Similarly erosion can expose a window through the thrust sheet to reveal an inlier of younger rock surrounded by older rock. Fault movements by which blocks of terrain move up or down relative to each other, as when horsts or grabens are formed, can also produce inliers and outliers.

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Related Questions

Explain the difference between the range and the outlier?

Range is the largest minus the smallest value in the data set. An outlier is a value that is far away from the majority of the data.


How do you determine how the outlier affects the mean median mode and range?

Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.


Between Mean Median and Mode which are affected most by an outlier?

The mean is affected the most by an outlier.


Is the range affected by the outlier?

Yes, the range is affected by outliers because it is calculated as the difference between the maximum and minimum values in a dataset. An outlier can significantly increase the maximum value or decrease the minimum value, thereby expanding the range. Consequently, even a single outlier can distort the perception of variability within the data.


Is Median an outlier?

No, median is not an outlier.


How do you figure outliers?

OK to find out what is an outlier: OK lets say u have a 5 no. and they are 1,2,3,4,and 55 <---- 55 would have been your outlier because it is a huge difference from the other no. well i hope that help you out :D


What is changed more by removing the outlier median or range?

Removing an outlier has a more significant impact on the range than on the median. The range, defined as the difference between the maximum and minimum values, can be dramatically altered if the outlier is either the highest or lowest value. In contrast, the median, which represents the middle value of a dataset, is less affected by extreme values, especially in larger datasets. Thus, the range is more sensitive to the removal of outliers compared to the median.


Can a outlier be zero?

0s are not the outlier values


Would a mean be smaller or larger if you leave out an outlier?

Depends on whether the outlier was too small or too large. If the outlier was too small, the mean without the outlier would be larger. Conversely, if the outlier was too large, the mean without the outlier would be smaller.


How does the outlier effect the mean median and mode in a set of data?

There would be a difference to the median. The old number wouldn't be the median but the mode wouldn't change. If the outlier is a high value, it will cause the mean value to shift to the higher side, while a low valued outlier will drop the mean value to a lower number.


How much does the outlier decrease the answer by?

To determine how much an outlier decreases the answer, you need to compare the statistical measure before and after including the outlier. For example, if the mean of a dataset is 50 without the outlier and drops to 40 with the outlier included, the outlier decreases the answer by 10. The specific impact of an outlier can vary significantly depending on its value relative to the rest of the data.


Is 101 a outlier?

No. A single observation can never be an outlier.