The coefficient of Skewness measures the general shape of the distribution or the _____ of symmetry of a distribution.

The coefficient of ___________ measures the general shape of the distribution or the lack of symmetry of a distribution.

Skweness ranges ___ to ____ and it relates the difference between the _____ and the ________ to the ___________.

It ranges -3 to +3 and it relates the difference between the mean and the median to the standard deviation.

Skweness ranges -3 to +3 and it relates the _____________ between the mean and the median to the standard deviation.

The direction of the _____ tail of the distribution points the direction of the ____________.

_____________ is extremely important to finance and investing.

By knowing which way data is _______ one can better estimate whether a given (or future) of data point will be more or less than the mean.

Most advanced economic analysis models study data for _______________ and incorporate this into their calculations.

_______________ is the risk that a model assumes a normal distribution of data when in fact data is skewed to the left or right of the mean.

When the data values are evenly distributed on both sides of the mean.

Also the distribution is unimodal and the mean, median and mode are similar and are at the center of the distribution.

Symmetrical Distribution : Also the distribution is ___________ and the mean, median and mode are _________ and are at the ________ of the distribution.

Positively Skewed Distribution or _______

When most of the values in the data fall to the left of the mean and group at the lower end of the distribution; the tail is to the right.

Positively Skewed Distribution or Right-Skewed Distribution : When most of the values in the data fall to the ______of the mean and group at the _________ end of the distribution; the tail is to the ______

Also, the mean is to the right of the median, and the mode is to the left of the median.

Positively Skewed Distribution or Right-Skewed Distribution : Also, the _______ is to the right of the median, and the _______ is to the left of the median.

Positively Skewed Distribution or Right-Skewed Distribution : Also, the mean is to the ______ of the median, and the mode is to the ______ of the median.

Negatively Skewed Distribution or Left-Skewed Distribution : When the mass of the data values fall to the ______ of the mean and group at the _______ end of the distribution, with the tail to the ______.In addition, the mean is to the ______ of the median, and the mode is to the ______ of the median.

In any given two samples with the ______units of measures, the variance and standard deviation for each can be compared. In cases when one is interested to compare standard deviations of two ___________ units, coefficient of variations can be applied.

The _____________ denoted by CV, is the standard deviation divided by the mean. The result is expressed as a percentage.

The coefficient of variation, denoted by ____, is the standard deviation ________ by the mean. The result is expressed as a ___________

The coefficient of variation, denoted by CV, is the ___________ divided by the _______. The result is expressed as a percentage.

___________ is from the Greek word kyrtos or kurtos, meaning bulging.

Kurtosis is from the Greek word _________ or _________ meaning ___________.

Kurtosis is from the ________ word kyrtos or kurtos, meaning bulging.

In statistics _________ (or excess) is a statistical measure used to describe the distribution of observed data around the _______.

It measures the relative peakedness or flatness of a distribution.

Three Types of Kurtosis :

_____________ are distributions where values clustered heavily or pile up in the center.

Leptokurtic are _____ distribution with _______ humps and ____ and _____ tails.

There are tall distribution with narrow humps and long and high tails.

Its kurtosis is positive. (Kurtosis > 0) and it denotes a high degree of peakedness.

Leptokurtic Its kurtosis is ___________ (Kurtosis > 0) and it denotes a _____ degree of peakedness.

____________ are intermediate distribution which are neither too peaked nor too flat.

Mesokurtic are intermediate distribution which are ________ too peaked nor too flat.

The values are immediately distributed about the center.

Its kurtosis is zero (kurtosis = 0).

____________ are flat distributions with values more evenly distributed about the center with broad humps and short tails.

Platykurtic are _____ distributions with values _____ evenly distributed about the center with ______ humps and _____ tails.

Its kurtosis is negative (kurtosis < 0) and it denotes a low degree of peakedness.

Platykurtic Its kurtosis is __________ (kurtosis < 0) and it denotes a ____ degree poof peakedness.

Symmetrical Distribution : When the data values are evenly distributed on both sides of the ______.