Question

Which of the following is not a transformation that can be used to correct skewed data?
a) long transformation
b) square transformation
c) Reciprocal 1transformation
d) target transformation​

Answer 1

Answer:

Target Transformation

Answer 2

The answer is option d Target transformation.

• The log transformation is the most popular among the different types of transformations used to  transform skewed data into normal data
• The log-transformed data follows a normal or near-normal distribution if the original data follows a log-normal distribution.
• The Square root transformation is a procedure for converting a set of data in which each value xi is replaced by its square root, another number that when multiplied by itself yields xi.
• Square-root transformations often result in the homogeneity of variance for the different levels of the independent variable (x) under consideration.
• Reciprocal transformation is a transformation of raw data that involves replacing the original data units with their reciprocals and analyzing the modified data. It can be used with nonzero data and is commonly used when distributions have skewness.
• Target transformation is only used in regression testing and it cannot be used in correcting skewed data.
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