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What will happen to the mean if the outlier 80 is taken out of the data set 30 35 80 35 30?
Wiki User
∙ 12y ago
It will go down;
with outlier, mean is 42
without outlier, mean is 32.5
Wiki User
∙ 12y ago
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What does taken mean?
taken means that are actually in a relationship..but not really in love... if you say i am in a love taKEN relationship means that you are in a relationship that u love you partner and your partner loves you back
What is the missing data when the mean is 24 and the data is 15 20 10 12 20 16 80 and 18?
i went thru the same problem i looked at the back of the book its 25
What is 15 percent off of 1275 dollars?
This would mean 191.25 is taken off leaving a price of $1083.75.
What does the increments mean?
For something to happen in increments or for it to happen incrementally means that it happens in small and discrete steps, and the implication is that the steps are in order. It can refer to a process that involves an increasing or decreasing amount of something.
How do you convert percentile 8.6 to percentage?
You would need to know how many questions were on the original test and what number of questions correct would be in the 8.6 percentile. Most tests do not give this data. If you can find it out, then number right / total number on test x 100 gives the percentage. 50 percentile might mean a 70% if it was an average test, or for a hard test 10 percentile might mean a 30%. Without the above information you cannot directly convert one to the other.
What will happen if the outlier is taken out of a data set?
The mean is changed.
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).
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 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 does an outlier affect data?
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
How would the outlier affect the mean and median of the data?
An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.
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.
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.
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 an outlier in math and can you get rid of it?
An outlier, in a distribution of data points, is a value which does not fall within three standard deviations of the mean. You cannot, at least directly, remove an outlier without biasing the data itself, but you can choose different measures to try and soften their effects. For example, instead of using mean as a measurement for the central value of the data set, one can use median.
What does outlier's mean?
oulier means something that sticks out in math, like in the number 50, 51, 53, 54, & 100... 100 is the outlier
What does the word outlier mean in mathematical terms?
The word outlier means in mathematical terms means a value far away from most of the rest n a set of data.
