The relationship between the mean, median, and mode with grouped data
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作者:
Zheng, Shimin
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East Tennessee State Univ, Dept Biostat & Epidemiol, Johnson City, TN USAEast Tennessee State Univ, Dept Biostat & Epidemiol, Johnson City, TN USA
Zheng, Shimin
[1
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Mogusu, Eunice
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East Tennessee State Univ, Dept Biostat & Epidemiol, Johnson City, TN USAEast Tennessee State Univ, Dept Biostat & Epidemiol, Johnson City, TN USA
Mogusu, Eunice
[1
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Veeranki, Sreenivas P.
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Univ Texas Med Branch, Dept Prevent Med & Community Hlth, Galveston, TX 77555 USAEast Tennessee State Univ, Dept Biostat & Epidemiol, Johnson City, TN USA
Veeranki, Sreenivas P.
[2
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Quinn, Megan
[1
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Cao, Yan
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East Tennessee State Univ, Coll Nursing, Ctr Nursing Res, Johnson City, TN USAEast Tennessee State Univ, Dept Biostat & Epidemiol, Johnson City, TN USA
Cao, Yan
[3
]
机构:
[1] East Tennessee State Univ, Dept Biostat & Epidemiol, Johnson City, TN USA
[2] Univ Texas Med Branch, Dept Prevent Med & Community Hlth, Galveston, TX 77555 USA
[3] East Tennessee State Univ, Coll Nursing, Ctr Nursing Res, Johnson City, TN USA
It is widely believed that the median is usually between the mean and the mode for skewed unimodal distributions. However, this inequality is not always true, especially with grouped data. Unavailability of complete raw data further necessitates the importance of evaluating this characteristic in grouped data. There is a gap in the current statistical literature on assessing mean-median-mode inequality for grouped data. The study aims to evaluate the relationship between the mean, median, and mode with unimodal grouped data; derive conditions for their inequalities; and present their application.