answersLogoWhite

0

Statistically speaking, the mean is the most stable from sample to sample. Whereas, the mode is the least stable statistically speaking from sample to sample.

User Avatar

Wiki User

12y ago

What else can I help you with?

Related Questions

Why is the median a more stable measure of central tendency than the mean?

in general,mean is more stable than median but in the case of extreme values it is better to consider median a stable measure than mean.


How does central tendency compare in distributions based on individual scores and distributions based on sample means?

Central tendency in distributions of individual scores can be influenced by outliers and skewness, leading to potential misrepresentation of the data's central value. In contrast, distributions based on sample means tend to be more stable and normally distributed due to the Central Limit Theorem, which states that as sample size increases, the sample means will cluster around the population mean. Consequently, the mean of sample means will typically provide a more accurate estimate of the population mean than the mean of individual scores, especially in larger samples. Thus, sample means generally offer a more reliable indication of central tendency in aggregate data.


Which is the most stable measure of central tendency?

Stability means that there will be less variation between random samples drawn on the same population. With categorical data, you may not have a choice, the mode is the only measure of central tendency that will be meaningful. With measureable, numerical data, the mean may be the only meaningful measure of central tendency, even though the median may show less variation. Some data may be assumed to have a skewed distribution, such as the price of homes, or incomes. The more stable and meaningful value for skewed distributions is the median, as a few high numbers can have a large impact on the estimate. See related links. You can find more information on central tendency by doing a search on the internet.


How does an outlier affect the mean and media for a data set?

An outlier can significantly affect the mean of a data set by pulling it in the direction of the outlier, leading to a potentially misleading representation of the central tendency. In contrast, the median, which is the middle value of a sorted data set, is less affected by outliers, providing a more robust measure of central tendency. Therefore, while the mean may change dramatically with the presence of an outlier, the median remains relatively stable, making it a preferred measure in skewed distributions.


Do protons in a very large nucleus have a greater chance of flying apart?

Sort of... The general tendency is for a larger atom to be less stable. Above a certain point (after lead) no stable atoms are known to exist.Sort of... The general tendency is for a larger atom to be less stable. Above a certain point (after lead) no stable atoms are known to exist.Sort of... The general tendency is for a larger atom to be less stable. Above a certain point (after lead) no stable atoms are known to exist.Sort of... The general tendency is for a larger atom to be less stable. Above a certain point (after lead) no stable atoms are known to exist.


What do these data sets illustrate about the resistance of the median and mean?

Data sets illustrate that the median is more resistant to outliers and extreme values than the mean. While the mean can be significantly affected by extreme data points, causing it to misrepresent the central tendency, the median remains stable as it focuses solely on the middle value of a sorted data set. This property makes the median a better measure of central tendency in skewed distributions. Thus, when analyzing data, choosing the median over the mean can provide a clearer picture of the typical value.


What does homeostatis?

the ability or tendency of an organism or cell to maintain internal conditions stable. ChromeZe :)


Which term is described as an organisms tendency to maintain a stable internal environment?

Homeostasis is the term used to describe an organism's tendency to maintain a stable internal environment by regulating its bodily functions.


Is median affected by extreme values?

No, the median is not affected by extreme values, or outliers, in a data set. The median is the middle value when the data is arranged in order, meaning it remains stable even if the highest or lowest values change significantly. This makes the median a more robust measure of central tendency compared to the mean, which can be skewed by extreme values.


Is the median not affected by the outlier?

Yes, the median is not affected by outliers because it represents the middle value of a dataset when arranged in ascending or descending order. Unlike the mean, which can be skewed by extreme values, the median remains stable as long as the number of data points is unchanged. This characteristic makes the median a robust measure of central tendency, particularly in datasets with outliers.


Who measures the ratio of unstable to stable atoms in a rock sample to estimate the age of the fossil it contains?

A geologist or archaeologist would use radiometric dating techniques to measure the ratio of unstable to stable atoms in a rock sample to estimate the age of the fossil it contains. This process involves analyzing the decay of radioactive isotopes present in the rock to determine its age.


Which of the following terms is described as an organism's tendency to maintain a stable internal environment?

Adaptation