Rules for Skewed Data

Lack of Symmetry Skewness is the lack of symmetry (lack of normality) in a probability distribution. The skewness is usually quantified by the index as given below $$s = \frac{\mu_3}{\mu_2^{3/2}}$$ where $\mu_2$ and $\mu_3$ are the second and third moments about the mean. This index formula described above takes the …

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Interval Estimation and Point Estimation (2012)

The problem with using a point estimate is that although it is the single best guess you can make about the value of a population parameter, it is also usually wrong. Interval estimate overcomes this problem using interval estimation technique which is based on point estimate and margin of error. …

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Scatter Diagram: Graphical Representation (2012)

A scatterplot (also called a scatter graph or scatter Diagram) is used to observe the strength and direction between two quantitative variables. In statistics, the quantitative variables follow the interval or ratio scale from measurement scales. Scatter Diagram Usually, in a scatter, diagram the independent variable (also called the explanatory, …

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Pearson’s Correlation Coefficient SPSS (2012)

Pearson’s Correlation Coefficient SPSS Pearson’s correlation coefficient (or correlation or simply correlation) is used to find the degree of linear relationship between two continuous variables. The value for a correlation coefficient lies between 0.00 (no correlation) and 1.00 (perfect correlation). Generally, correlations above 0.80 are considered pretty high. Remember: How …

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