The coefficient of correlation is a number between -1 and 1 that indicates the strength and direction of the linear relationship between two variables. A value of 0 means no correlation, 1 means perfect positive correlation, and -1 means perfect negative correlation. The coefficient of correlation is calculated using Karl Pearson's method and is denoted by r. It is a dimensionless number that is unaffected by changes in scale or origin of the variables.
Multiple Correlation Coefficient denoting a correlation of one variable with multiple other variables. The Multiple Correlation Coefficient, R, is a measure of the strength of the association between the independent (explanatory) variables and the one dependent (prediction) variable. This presentation explains the concept of multiple correlation and its computation process.
Multiple Correlation Coefficient denoting a correlation of one variable with multiple other variables. The Multiple Correlation Coefficient, R, is a measure of the strength of the association between the independent (explanatory) variables and the one dependent (prediction) variable. This presentation explains the concept of multiple correlation and its computation process.
HOW IS IT USEFUL IN FIELD OF FORENSIC SCIENCE AND IN THIS I HAVE SHOWN THE TYPES OF CORRELATION, SIGNIFICANCE , METHODS AND KARL PEARSON'S METHOD OF CORRELATION
Pearson Product Moment Correlation - ThiyaguThiyagu K
The coefficient of correlation computed by product moment coefficient of correlation or Pearson's correlation coefficient and symbolically represented by r. This presentation explains the concept, computation, merits and demerits of Pearson Product Moment Correlation.
The Spearman’s Rank Correlation Coefficient is the non-parametric statistical measure used to study the strength of association between the two ranked variables. This method is applied to the ordinal set of numbers, which can be arranged in order, i.e. one after the other so that ranks can be given to each. This presentation slides explains the procedure to find out the Rank Difference correlation and its applications.
HOW IS IT USEFUL IN FIELD OF FORENSIC SCIENCE AND IN THIS I HAVE SHOWN THE TYPES OF CORRELATION, SIGNIFICANCE , METHODS AND KARL PEARSON'S METHOD OF CORRELATION
Pearson Product Moment Correlation - ThiyaguThiyagu K
The coefficient of correlation computed by product moment coefficient of correlation or Pearson's correlation coefficient and symbolically represented by r. This presentation explains the concept, computation, merits and demerits of Pearson Product Moment Correlation.
The Spearman’s Rank Correlation Coefficient is the non-parametric statistical measure used to study the strength of association between the two ranked variables. This method is applied to the ordinal set of numbers, which can be arranged in order, i.e. one after the other so that ranks can be given to each. This presentation slides explains the procedure to find out the Rank Difference correlation and its applications.
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Md. Topu Kawser 28 58thB
Azizul Haque Bhuiyan 07 58thB
Md Maidul Islam Chowdhury 06 58thB
Kaptusha akter monisha 26 59thB
Ramnunsang bawm 37 58thB
students of (BBA)
Dhaka International University
this ppt gives you adequate information about Karl Pearsonscoefficient correlation and its calculation. its the widely used to calculate a relationship between two variables. The correlation shows a specific value of the degree of a linear relationship between the X and Y variables. it is also called as The Karl Pearson‘s product-moment correlation coefficient. the value of r is alwys lies between -1 to +1. + 0.1 shows Lower degree of +ve correlation, +0.8 shows Higher degree of +ve correlation.-0.1 shows Lower degree of -ve correlation. -0.8 shows Higher degree of -ve correlation.
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http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
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2. Coefficient of correlation is a pure number
lying between -1 and +1. When the
correlation is negative, it lies between -1 and
0.When the correlation is positive ,it lies
between 0 and 1. When the correlation is zero
,it indicates that there is no correlation and
when the correlation is 1,there is perfect
correlation.
4. It is the widely used method
It is also known as Pearsonian
coefficient of correlation.
It is denoted by the symbol ‘r’.
The formula can be expressed as
5. The degree of correlation can be
classified into three types and
they are:-
1. Perfect correlation
2. No correlation
3. Limited degree of correlation
6. Correlation coefficient has a well defined
formula.
Coefficient correlation is a pure number and
is independent of the units of measurement.
It lies between -1 and +1.
Correlation coefficient does not change with
reference to change of origin or change of
scale.
7. Probable error of coefficient of correlation is a
statistical measure which measures reliability and
dependability of the value of coefficient of
correlation.
If probable error is added or subtracted from the
coefficient of correlation, it would give two such
limits within which we can reasonably expect the
value of coefficient of correlation to vary.
