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When data points in a set of a data are extreme enough to have a significant effect on the mean what are they called?
Such a data point is called an outlier.
What is the effect of the a small outlier value Will it affect of a data set?
No. The data set will remain the data set: they are the observations that are recorded.
If an outlier is included with a sample of 50 values all of which are the same what is the effect of the outlier on the mean?
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.
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.
What Anomalous data on a graph shows what?
An Outlier; an Outlier is when a point is not part of a trend (pattern)
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.
When data points in a set of a data are extreme enough to have a significant effect on the mean what are they called?
Such a data point is called an outlier.
What is the effect of the a small outlier value Will it affect of a data set?
No. The data set will remain the data set: they are the observations that are recorded.
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
If an outlier is included with a sample of 50 values all of which are the same what is the effect of the outlier on the mean?
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.
How do you get an outlier?
the most common cause of an outlier is an error in the recording of data.
What is the outlier in this data base 91232811?
A single observation cannot have an outlier.
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.
Does an outlier have a greater effect on the standard deviation or interquartile range?
On the standard deviation. It has no effect on the IQR.
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).
