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Why it is useful to fiNd the meaN mediaN aNd mode of a set of data?
when there are extreme values in the data
When computing Standard deviation should you eliminate the extreme values?
Generally not without further reason. Extreme values are often called outliers. Eliminating unusually high values will lower the standard deviation. You may want to calculate standard deviations with and without the extreme values to identify their impact on calculations. See related link for additional discussion.
What is the measure of central tendency that is least affected by extreme values?
the variance
When specific values if one variable tend to occur in common with specific values of another?
what do we call a measure that is relatively unaffected by extreme observations
Why median is not a consistent estimator?
Because it is easily influenced by extreme values (i.e. it is not unbiased).
Why it is useful to fiNd the meaN mediaN aNd mode of a set of data?
when there are extreme values in the data
How do find lower and upper extreme?
To find the lower extreme, you need to identify the smallest value in a data set. To find the upper extreme, you need to identify the largest value in the data set. These values represent the lowest and highest points of the data distribution.
Which variation is very sensitive to extreme values?
Any variation is very sensitive to extreme values!
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 is the meaning of sensible values?
Values that are commonly accepted and are not extreme in any way.
Can extreme values vary greatly from the central group of data values?
yes
What do the Taliban promote?
An extreme interpretation of Islamic values.
What is it called when extreme conditions like temperatures and extreme pH values changes the shape of an enzyme?
Danze16
When computing Standard deviation should you eliminate the extreme values?
Generally not without further reason. Extreme values are often called outliers. Eliminating unusually high values will lower the standard deviation. You may want to calculate standard deviations with and without the extreme values to identify their impact on calculations. See related link for additional discussion.
How do you find derivative of x2lnx?
start by differentiating each component d/dx [x2]=2x d/dx [lnx]=1/x product rule 2xlnx+x2/x simplify (factoring) x[2ln(x)+1]
Which summary measures are influenced by extreme values?
mode and mean
What are the advantages of mode?
extreme values don't affect the mode
