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In a negatively skewed distribution, Mean In a positively skewed distribution, Mean > median > mode So in the screenshots below, The first figure (1-2)
In a negatively skewed distribution,
Mean
In a positively skewed distribution,
Mean > median > mode
So in the screenshots below,
The first figure (1-2) confuses me as the mean(14.467) > median(14)
For the second figure(1-3) the distibution can be inferred as quite symmetrical or uniform since median = mode and the mean(14.419) is qutie close to both. Is the inference right?
Jan 2000 - Dec 2009 | Jan 2010 - Sep 2019 |
Mean: 14.467 | Mean: 14.419 |
Median: 14.000 | Median: 15.000 |
Mode: 20.000 | Mode: 15.000 |
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