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## What transformation can be used to correct skewed data?

It’s often desirable to transform skewed data and to convert it into values between 0 and 1. Standard functions used for such conversions include **Normalization**, the Sigmoid, Log, Cube Root and the Hyperbolic Tangent.

## Which transformation is best for right-skewed data?

**Special transformations****x’=log(x+1)** -often used for transforming data that are right-skewed, but also include zero values.

## What does a reciprocal transformation do?

a transformation of raw data that involves (a) replacing the original data units with their reciprocals and (b) analyzing the modified data. Unlike other transformations, a reciprocal transformation **changes the order of the original data**. … Also called inverse transformation.

## How does log transformation reduce skewness?

Using the log transformation to make data conform to normality. … If the original data follows a log-normal distribution or approximately so, then the **log-transformed data** follows a normal or near normal distribution. In this case, the log-transformation does remove or reduce skewness.

## How do you reduce skewness?

To reduce right skewness, **take roots or logarithms or reciprocals** (roots are weakest). This is the commonest problem in practice. To reduce left skewness, take squares or cubes or higher powers.

## Is a reciprocal function a rational function?

If is **a rational function of the form , its reciprocal function will be** . … Conversely, if a vertical asymptote occurs in the original function at , that is, its value approaches ± infinity as x approaches a given value , then the reciprocal function will have a root at .