When the data are skewed to the right the measure of skewness will be positive.
When a distribution is skewed to the right, the mean is greater than median.
skewed right.
False. It can be skewed to the left or right or be symmetrical.
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)
No, as you said it is right skewed.
When the data are skewed to the right the measure of skewness will be positive.
Symmetric
When a distribution is skewed to the right, the mean is greater than median.
A positively skewed or right skewed distribution means that the mean of the data falls to the right of the median. Picturewise, most of the frequency would occur to the left of the graph.
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).
skewed right.
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.
False. It can be skewed to the left or right or be symmetrical.
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 shape of the curve skewed is "right"
on the left and when it is skewed left it is on the right