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- Which mean to use and when? - Cross Validated
So we have arithmetic mean (AM), geometric mean (GM) and harmonic mean (HM) Their mathematical formulation is also well known along with their associated stereotypical examples (e g , Harmonic mea
- mean - Averaging variances - Cross Validated
Context is everything here Are these theoretical variances (moments of distributions), or sample variances? If they are sample variances, what is the relation between the samples? Do they come from the same population? If yes, do you have available the size of each sample? If the samples do not come from the same population, how do you justify averaging over the variances?
- Explaining Mean, Median, Mode in Laymans Terms
Hence, the mean acts as the balancing point in a distribution This visual allows an immediate understanding of the mean as it relates to the distribution of the data points Other property of the mean that becomes readily apparent from this demonstration is the fact that the mean will always be between the min and the max values in the
- What is the difference between mean value and average?
The mean you described (the arithmetic mean) is what people typically mean when they say mean and, yes, that is the same as average The only ambiguity that can occur is when someone is using a different type of mean, such as the geometric mean or the harmonic mean, but I think it is implicit from your question that you were talking about the arithmetic mean
- mean - Is it correct to use plus or minus symbol before standard . . .
I have represented standard deviation as "±SD" before in publications But I like to have opinions on this Is it appropriate to use the notation '±' with SD ? Or
- mean - Is Median Absolute Percentage Error useless? - Cross Validated
I'm working on a project focused on pricing houses Looking online I see a lot of works and companies providing the performances of their model using the median instead of the mean (see for example
- What is the difference between Mean Squared Deviation and Variance?
I also guess that some people prefer using mean squared deviation as a name for variance because it is more descriptive -- you instantly know from the name what someone is talking about, while for understanding what variance is you need to know at least elementary statistics Check the following threads to learn more:
- mean - Difference between standard error and standard deviation - Cross . . .
I'm struggling to understand the difference between the standard error and the standard deviation How are they different and why do you need to measure the standard
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