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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 2009Jan 2010 - Sep 2019
Mean: 14.467Mean: 14.419
Median: 14.000Median: 15.000
Mode: 20.000Mode: 15.000
image text in transcribed
Frequency of monthly rainy days (Jan 2000-Dec 2009) 60 50 40 Frequency 30 20 10 0 5 10 15 20 25 More Number of rainy days in a month Figure 1-2 Frequency of monthly rainy days (Jan 2010-Sep 2019) 40 35 30 25 Frequency 20 15 10 5 O 0 5 10 15 20 25 More Number of rainy days in a month Figure 1-3

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