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In two dimensional Euclidean space straight lines are either parallel or convergent. If they are parallel, the perpendicular distance between them is constant and if they are convergent, the distance between them increases in one direction and decreases in the other - until they intersect - and then increases.
In 3-dimensional space, there is a third possibility. You can have lines that are neither parallel nor convergent: they are skew. It is simplest to explain with an example.
Imagine you are standing in a cuboid room, facing a wall. Now consider the principal diagonal, running from the left-bottom-back to the right-top-front, and the line where the wall opposite meets the floor. These too lines will never meet but they are not parallel either.
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What is the difference between Dispersion and Skewness?
distinguish between dispersion and skewness
How skewness help in determining relation between different measures of central tendency?
Negative skewness means the average (mean) will be less than the median. Positive skewness means the opposite. I'm not sure if any rule holds for the mode.
The use of Pearson Coefficient of Skewness?
the use of the pearson's of skewness
If coefficient of skewness equals 0 then what would you say about the skewness of the distribution?
if coefficient of skewness is zero then distribution is symmetric or zero skewed.
What is inclination for two lines to each other?
Parallell * * * * * It is the angle between the two lines.
What is the difference between Dispersion and Skewness?
distinguish between dispersion and skewness
Can you compare and contrast the skewness and normal curve?
Answer this question...similarities and differences between normal curve and skewness
How skewness help in determining relation between different measures of central tendency?
Negative skewness means the average (mean) will be less than the median. Positive skewness means the opposite. I'm not sure if any rule holds for the mode.
The use of Pearson Coefficient of Skewness?
the use of the pearson's of skewness
If coefficient of skewness equals 0 then what would you say about the skewness of the distribution?
if coefficient of skewness is zero then distribution is symmetric or zero skewed.
When comparing data between two different groupswhat do you do?
You make comparisons between their mean or median, their spread - as measured bu the inter-quartile range or standard deviation, their skewness, the underlying distributions.
What is the values of the skewdness and kurtosis coefficient for the normal distribution 0 and 3 respectively?
No. Skewness is 0, but kurtosis is -3, not 3.No. Skewness is 0, but kurtosis is -3, not 3.No. Skewness is 0, but kurtosis is -3, not 3.No. Skewness is 0, but kurtosis is -3, not 3.
What is inclination for two lines to each other?
Parallell * * * * * It is the angle between the two lines.
What is the name of two space between two sides front lines?
No Man's Land is the name of the space between the two sides front lines.
Would you consider two data sets similar or different if they have the same mean median and range but one is positively skewed and other negatively skewed?
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
How many blank lines are between triple spaced lines?
two
What is Pearson's first rule of the measure of coefficient of skewness?
skewness=(mean-mode)/standard deviation
