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Outliers pull the mean in the direction of the outlier.

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Q: What is the effect of extreme value on mean?
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Related questions

As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?

yes


How extreme value affect mean?

An extreme value will drag the mean value towards it.


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.


Is there any distinction between an extreme point and an extreme value of a function?

no


What is the anwer for an extreme exaggeration for effect?

A hyperbole


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.


What is the extreme value in a data set?

median


Find a p-value given z and the population mean Find the P-value in a test of the claim that a population mean is equal to 100 given that the test statistic is z equals 1.50?

The probability of observing a z value equal to or more extreme than 1.50 is 0.1336


What is an extreme value in a set?

the maximum or minimum value of a continuous function on a set.


When do you use mean and median?

The mean is used to measure the average of a set of values, especially when the data is normally distributed. The median is used to find the middle value of a dataset when there are extreme values or outliers present, as it is less affected by extreme values.


What planet has an atmosphere thar has an extreme greenhouse effect?

Venus


The effect of meath Gaelic football on society?

detremental in the extreme.