Coefficient of Determination
When there aren't extreme values (outliers)
median
mode
Accident srry meep!
the median is perferred when the data is strongly skewed or has outliers. =)
The appropriate measure of central tendency for age is the median. This is because age is a continuous variable and can have outliers or extreme values, which can skew the mean. The median provides a more robust estimate of the center of the distribution.
mean
Meanlol
When there aren't extreme values (outliers)
Its the one most commonly used but outliers can seriously distort the mean.
median
mode
Mean- If there are no outliers. A really low number or really high number will mess up the mean. Median- If there are outliers. The outliers will not mess up the median. Mode- If the most of one number is centrally located in the data. :)
mean
Mode: Data are qualitative or categoric. Median: Quantitative data with outliers - particularly if the distribution is skew. Mean: Quantitative data without outliers, or else approx symmetrical.
Accident srry meep!
the median is perferred when the data is strongly skewed or has outliers. =)