An outlier can be very large or small. its usally 1.5 times the mean. they can be seen with a cat and whisker box
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The answer to the question is YES.
"Its usually 1.5 times the mean" is utter rubbish - apart from the typo. If a distribution had a mean of zero, such as the standard Normal distribution, then almost every observation would be greater than 1.5 times the mean = 0 and so almost every observation would be an outlier!
No.
There is no universally agreed definition for an outlier but one contender is values that are more than 1.5 times the interquartile range away from the median.
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.
it is called an outlier
In statistics, the name for that is "outlier". Another possible word is "anomaly".
A large value for the chi-squared statistic indicates that one should be suspiciuous of the null hypothesis, because the expected values and the observed values willdiffer by a large amount
Because it is a mathematical concept and because it does not change; whether it is defined as the ratio of the circumference to diameter of a circle or as the limiting value of a large number of infinite sequences, or in a number of other ways.
An outlier is a value that is way too small or way too large compared to other observations. There is no formal definition of what "way too" is.
An outlier can significantly impact the median by pulling it towards the extreme value of the outlier, especially when the dataset is small. This can distort the central tendency measure that the median represents and provide a misleading representation of the typical value in the dataset.
An outlier (mathematics/statistics), or radical value (sociology).
By definition, an outlier will not have the same value as other data points in the dataset. So, the correct question is "What is the effect of an outlier on a dataset's mean." The answer is that the outlier moves the mean away from the value of the other 49 identical values. If the outlier is the "high tail" the mean is moved to a higher value. If the outlier is a "low tail" the mean is moved to a lower value.
An outlier will have a huge affect on the range as the range is the largest value minus the smallest value.
That would be outlier.
No. The data set will remain the data set: they are the observations that are recorded.
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.
Not necessarily.
Outlier
If we are moving from a large value to a small value we move the decimal point to the left.