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Is lunds test for outlier detection is equal to Grubbs test for outlier detection?
No
What is an outlier on a stem and leaf plot?
An outlier is an extreme point of data on the plot. It is significantly greater or less than the rest of the data. Example: *50% of the class got 80/100 points on the test *49% of the class got 78/100 points on the test. *However, only 1% of the class got 99/100 points on the test. The small percentage that got the 99 would be the extreme outlier.
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 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.
What is an example of a outlier range?
1,2,3,4,20 20 is the outlier range
Is lunds test for outlier detection is equal to Grubbs test for outlier detection?
No
What is an outlier on a stem and leaf plot?
An outlier is an extreme point of data on the plot. It is significantly greater or less than the rest of the data. Example: *50% of the class got 80/100 points on the test *49% of the class got 78/100 points on the test. *However, only 1% of the class got 99/100 points on the test. The small percentage that got the 99 would be the extreme outlier.
What is the outlier from these figures 7.5Cm 7.6Cm 7.5Cm 76Mm 7.0Cm?
There is no outlier, using the (Q3-Q1)1.5 test. Other tests for outliers can yield different results, but this is the one generally accepted by statisticians. If you are told that "no outlier" is not an option, then it's definitely going to be 7.0Cm.
Is Median an outlier?
No, median is not an outlier.
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.
What are Deviation-Based Outlier Detection?
Deviation-based outlier detection does not use the statistical test or distance-based measures to identify exceptional objects. Instead, it identifies outliers by examining the main characteristics of objects in a group.
Is 101 a outlier?
No. A single observation can never be an outlier.
Example of an outlier?
An example of an outlier might be an exceptionally high or low value in a data set that does not fit the overall trend of the data. For instance, if a group of students' test scores mostly range from 60-90, but one student scores a 20 or a 100, that student's score would be considered an outlier.
What would happen if a outlier was removed from the mean?
The answer depends on the nature of the outlier. Removing a very small outlier will increase the mean while removing a large outlier will reduce the mean.
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.
What is the outlier of 558286 94 96 99?
The outlier is 558286.
