Padmasiri_de_Silva_auth_An_Introduction.pdf
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Emailing Padmasiri de Silva (auth.) - An Introduction to Buddhist Psychology and Counselling_ Pathways of Mindfulness-Based Therapies-Palgrave Macmillan UK (2014).pdf
Skewness = Lack of Symmetry i.e if distribution of data is not symmetrical, it is called Skewed distribution.
Any measure of Skewness indicates the difference between the manner in which item are distributed in a particular distribution compared with a symmetrical (or normal) distribution.
Any measure of Skewness indicates the difference between the manner in which item are distributed in a particular distribution compared with a symmetrical (or normal) distribution.
Kurtosis is the measure of the shape of a frequency curve. It is the Greek word which means bulginess.
While Skewness signifies the extent of asymmetry, kurtosis measures the degree of peakedness of a frequency distribution.
Karl Pearson classified curves into 3 types on the basis of the shape of their peaks.
These are
A) Mesokurtic
B) Leptokurtic
C) Platykurtic
While Skewness signifies the extent of asymmetry, kurtosis measures the degree of peakedness of a frequency distribution.
Karl Pearson classified curves into 3 types on the basis of the shape of their peaks.
These are
A) Mesokurtic
B) Leptokurtic
C) Platykurtic
The Correlation refers to the statistical technique used in measuring the strength of the relationship between the variables.
Correlation coefficient is said to be a measure of covariance between two series.
It is denoted by r.
The value of correlation coefficient always lie between or equal to -1 to +1.
It is denoted by r.
The value of correlation coefficient always lie between or equal to -1 to +1.
Scatter diagram is a graphic method of finding out correlation between two variables.
Steps to draw a Scatter diagram:
1) Plotting the Axis
2) Range of Values
3) Identify the pairs of values
4) Plotting the graph.
1) Plotting the Axis
2) Range of Values
3) Identify the pairs of values
4) Plotting the graph.
👆Karl Pearson's coefficient of Correlation