# What is the between skewness and kurtosis?

While skewness is the measure of symmetry, or if one would like to be more precise, the lack of symmetry, kurtosis is a measure of data that is either peaked or flat relative …to a normal distribution of a data set. * Skewness: A distribution is symmetric if both the left and right sides are the same relative to the center point. * Kurtosis: A data set that tends to have a distant peak near the mean value, have heavy tails, or decline rapidly is a measure of high kurtosis. Data sets with low Kurtosis would obviously be opposite with a flat mean at the top, and a distribution that is uniform.

# Define skewness and kurtosis?

Skewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the center …point. Kurtosis is a measure of whether the data are peaked or flat relative to a normal distribution. See related link. By doing a search on the internet, you can find more examples.

# What does Negative mean?

negative means someone saying No

# What is kurtosis?

I will answer your question in a couple of ways. First as a concept: Kurtosis is a measure of whether the data are peaked or flat relative to a normal distribu…tion. That is, data sets with high kurtosis tend to have a distinct peak near the mean, decline rather rapidly, and have heavy tails. Data sets with low kurtosis tend to have a flat top near the mean rather than a sharp peak. A uniform distribution would be the extreme case. Now as a mathematical formula: For univariate data Y1, Y2, ..., YN, the formula for kurtosis is: where is the mean, is the standard deviation, and N is the number of data points. You may find more information at this website: http://www.itl.nist.gov/div898/handbook/eda/section3/eda35b.htm

# What is the meaning of negative?

not positive

# What is a negative mean?

IN statistics yes there is a negative mean. Mean is the average of multiple numbers. Negative is opposite of positive.

# What does 'negging' mean?

Negging is a term used by pick up artists such as in the book "The Game" and "The Mystery Method". It means to insult a girl playfully to increase her interest in you.

# What does kurtosis serve?

In probability theory and statistics, kurtosis (from the Greek word κυρτός, kyrtos or kurtos, meaning bulging) is a measure of the "peakedness" of the probability distri…bution of a real-valued random variable. Higher kurtosis means more of the variance is due to infrequent extreme deviations, as opposed to frequent modestly sized deviations. Sometimes kurtosis gets confused with skewness, so I have added links to both these terms.

# What are the three types kurtosis?

mesokurtic leptokurtic platykurtic

# Can mean be negative?

Yes, the mean can be negative if the numbers being averaged are negative. For example, if you are averaging temperatures and all of the temperatures are below zero, your a…verage temperature will be a negative number.

# What does it mean for a negative to be decreased by a negative?

It becomes less negative To explain. Lets take a negative, eg -5. If we decrease it by 1, it becomes -6 (where 1 is positive) Thus if we decrease it by -1, it becomes -4 (as t…he -1 is negative) Note that the final number could be positive, For example, if you decrease -5 by -6, you get +1

# What does a negative plus a negative means?

It's just a word-description of the process of adding two negative numbers. It's really easy to do. Just add the two numbers and write the answer with a negative sign.

Answered

# Is kurtosis equal to zero?

It can be negative, zero or positive.

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In Algebra

# What does a negative plus a negative mean?

A negative plus a negative equals a negative.

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# What is the kurtosis of a normal distribution?

For N(0, 1) it is 3.

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In Calculus

# What does negative answer mean?

its negative! negative reply, answer that is not positive

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In Statistics

# What does the term kurtosis mean?

The Greek word "kurtosis", when translated to English, means the probability theory of any measure of the "peakedness" of a real valued random variable.