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moderate skewed vs moderate-skewed source

Both phrases are correct, but they are used in different contexts. 'Moderate skewed' is used to describe the degree of skewness in a dataset, while 'moderate-skewed source' is used to describe the source of the skewness. They are not directly comparable as they serve different purposes.

Last updated: March 21, 2024 • 655 views

moderate skewed

This phrase is correct and commonly used in statistics to describe the degree of skewness in a dataset.

This phrase is used in statistics to describe a dataset that exhibits a moderate degree of skewness, meaning that the data is not evenly distributed.

Examples:

  • The distribution of the data is moderate skewed.
  • The histogram shows a moderate skewed pattern.
  • Moderate skewed – medium tail. KOLMOGOROV-SMIRNOV TEST. D=0.27 – p> 0.05. X-variable: Ŝ=4 T=1.43. Y-variable: Ŝ=4 T=1.50. X-variable: Ŝ=1.53 T=1.36.
  • The t-test obtained high statistical power or close to the power from the Man- Whitney test under the uniform, moderate skewed or symmetric distribution with ...
  • Aug 22, 2012 ... The t-test obtained high statistical power or close to the power from the Man- Whitney test under the uniform, moderate skewed or symmetric ...
  • Apr 26, 2013 ... ... know which test perform better in different distributions-normal, moderate skewed and extremely skewed distribution. can i make comparison ...

Alternatives:

  • moderately skewed
  • moderately skewed data
  • moderate skewness

moderate-skewed source

This phrase is correct and is used to describe the source of skewness in a dataset.

This phrase is used to specify that the source of skewness in a dataset is moderate. It provides information about the origin of the skewness.

Examples:

  • The moderate-skewed source of the data was identified.
  • We need to investigate the moderate-skewed source of the data.

Alternatives:

  • source of moderate skewness
  • moderately skewed data source
  • source with moderate skew

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