i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed
As the mean is greater than the median it will be positively skewed (skewed to the right), and if the median is larger than the mean it will be negatively skewed (skewed to the left)
When the data are skewed to the right the measure of skewness will be positive.
Not necessarily.
When a distribution is skewed to the right, the mean is greater than median.
i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed
The retaining wall is skewed perfectly.
As the mean is greater than the median it will be positively skewed (skewed to the right), and if the median is larger than the mean it will be negatively skewed (skewed to the left)
The results of the study were skewed because of the small sample size used in the research.
When a set of votes has been skewed it means that either the mean is higher than the median or lower. If it is higher the vote is said to be skewed to the right and when lower it is skewed to the left.
Symmetric
Nobody invented skewed distributions! There are more distributions that are skewed than are symmetrical, and they were discovered as various distribution functions were discovered.
Skewed is an irregular adjective because it ends in -ed. An example of a sentence would be, "The results of his test were skewed due to the teacher's mistakes." Or you could say something like, "His conception of religion was skewed."
No, as you said it is right skewed.
how can information from sources be skewed to validate an argument
In the majority of Empirical cases the mean will not be equal to the median, so the event is hardly unusual. If the mean is greater, then the distribution is poitivelt skewed (skewed to the right).
When the data are skewed to the right the measure of skewness will be positive.