In case of a moderately skewed distribution, the difference between mean and mode is almost equal to three times the difference between the mean and median.
[tex]\operatorname{mean}-mode=3(\operatorname{mean}-\operatorname{median})[/tex]Using this rule in our problem, we have
[tex]\begin{gathered} 155.89-154=3(155.89-\operatorname{median}) \\ 1.89=3(155.89-\operatorname{median}) \\ 0.63=155.89-\operatorname{median} \\ \operatorname{median}=155.89-0.63 \\ \operatorname{median}=155.26 \end{gathered}[/tex]The median is $155.26.
If a frequency distribution graph has a symmetrical frequency curve, then mean, median and mode will be equal.
In case of a positively skewed frequency distribution, the mean is always greater than median and the median is always greater than the mode.
In case of a negatively skewed frequency distribution, the mean is always lesser than median and the median is always lesser than the mode.
In our problem, the mean is greater than the median
[tex]155.89>155.26[/tex]and the median is greater than the mode
[tex]155.26>154[/tex]Therefore, we have a positively skewed frequency distribution.