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B. Com. I OE - II Practical No. 4 Karl Pearson's correlation coefficient

  Practical no. 4 Karl Pearson's correlation coefficient  Correlation In previous blog we discussed about the measure central tendency and Dispersion to use to study the variable. the correlation is a statistical concept that allows us to measure and understand the relationship between two or more variables. it provided a valuable information about that variables. e.g. price and demand of commodity, income and expenditure of family, height and weight of group of persons. their we use the relation   between this two variables. in above examples we see the one variable increases other variable is also changes in same or opposite direction.  definition: Correlation is statistical tool which study the relationship between two or more variables. for analysis of correlation various method and techniques are used.  example: i. Demand and supply of product                           ...

B. Com. I OE - II Practical No. 3 Scatter Plot.

  Practical No. 3   Scatter Plot.  Correlation In previous blog we discussed about the measure central tendency and Dispersion to use to study the variable. the correlation is a statistical concept that allows us to measure and understand the relationship between two or more variables. it provided a valuable information about that variables. e.g. price and demand of commodity, income and expenditure of family, height and weight of group of persons. their we use the relation   between this two variables. in above examples we see the one variable increases other variable is also changes in same or opposite direction.  definition: Correlation is statistical tool which study the relationship between two or more variables. for analysis of correlation various method and techniques are used.  example: i. Demand and supply of product                               ...

B. Com. i. OE- II Practical No. 2 Measures of Dispersion – II

        Measures of Dispersion – II: Range, Quartile Deviation, Standard Deviation and their respective relative measures for Grouped data.   Measures of Dispersion :    I.  Introduction. II. Requirements of good measures. III. Uses of Measures of Dispersion. IV. Methods Of Studying Dispersion:     i.  Absolute Measures of Dispersions :           i. Range (R)          ii. Quartile Deviation (Q.D.)           iii. Standard Deviation (S. D.)         iv. Variance    ii.  Relative Measures of Dispersions :            i. Coefficient of Range          ii. Coefficient of Quartile Deviation (Q.D.)          iii. Coefficient of St...