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Which number is the outlier in this data set 91232811?
There cannot be an outlier in a dataset that comprises only one number!
What is the outlier in this set of data 10064635862?
there is no outlier because there isn't a data set to go along with it. so theres no outlier
Given the following data 164 175 126 135 159 143 55 what effect will the outlier have on the median of the data if the outlier is excluded?
If the outlier is excluded the median of the data will be higher.
How do you get an outlier?
the most common cause of an outlier is an error in the recording of data.
What do you take if there is an outlier in data?
If a data set has an outlier, you would normally deal with it by omitting it from the average of the other values.
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
How does the outlier affect the mean of the data?
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
How does the outlier effect the data?
Outlier: an observation that is very different from the rest of the data.How does this affect the data: outliers affect data because it means that your calculations might be off which makes it a possibility that more than the outlier is off.
Can there be more than one outlier in a set of data?
Yes there can be more then one outlier
What Anomalous data on a graph shows what?
An Outlier; an Outlier is when a point is not part of a trend (pattern)
How does a outlier look like in math terms?
An outlier looks like a piece of data that does not fit the pattern of most of the data. However just because some data point "looks like an outlier" does not necessarily mean that it is - standards for deciding whether something is an outlier or not varies a lot from course to course (and how accurate you want to be), so one person's outlier is another persons normal data.
