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What else can I help you with?
What extreme was an Nazism?
Socialism. And Communism is the most extreme version of Socialism.
Nazism was an extreme form of?
Fascism
What was the communist threat during Hitlers rise to power?
They were communists that's what. The Nazis were extreme right wing and communists were extreme left wing.
What is the most brutal sport in the world?
extreme fighting
When did armistice go into effect?
The armistice went into effect in 1918
How extreme value affect mean?
An extreme value will drag the mean value towards it.
As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?
yes
Do extreme values affect mean?
Yes, extreme values, also known as outliers, can significantly affect the mean of a data set. Since the mean is calculated by summing all values and dividing by the number of values, a single extreme value can disproportionately skew the result. This is why the mean may not always be the best measure of central tendency for data sets with outliers; alternatives like the median can provide a more accurate representation of the typical 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.
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.
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
What is the least resistant to outliers mean median or mode?
The mean is the least resistant to outliers because it is influenced by every value in the dataset, including extreme values. In contrast, the median, which represents the middle value, is less affected by outliers, as it depends only on the order of the data. The mode, being the most frequently occurring value, is also generally unaffected by outliers. Thus, in terms of sensitivity to extreme values, the mean is the most vulnerable.
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.
