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The line in the middle of the box corresponds to the sample median.
Thus, households fell into four categories depending on whether they were above or below the sample median for cash income per capita and TLU per capita.
In Section 3, the details of the existing localization methods using the sample median are addressed.
We separate our sample into two groups based on the sample median of the scores (0.56).
Family size is included through two variables whether adults at the household are more than sample median (i.e. 2), and whether children at household are more than sample median (i.e. 1).
We next divide our sample into two groups: one with financial development scores larger than the sample median (0.56) and the other with financial development scores smaller than the sample median.
Respondents have lower WTP if they are living in a household with more adults than the sample median.
The line inside each box is the sample median, while the circle is the sample mean, over all the participants.
In this paper, we construct a nonparametric test based on the indicators of the data minus the sample median.
The limit cases of this estimator are the sample, median and MAD correlation coefficients, the last two simultaneously being the most B- and V-robust estimators.
A Parker ratings variable was constructed using the median rating for the winery if available and using the sample median for those wineries with no ratings.
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