When a distribution has a greater proportion of the measurements to the right of the peak value, we say that it is skewed to the left.
Question
When a distribution has a greater proportion of the measurements to the right of the peak value, we say that it is skewed to the left.
Solution
Yes, that's correct. When a distribution has a greater proportion of measurements to the right of the peak value, it is said to be left-skewed or negatively skewed. This is because the long tail of the distribution is on the left side. The mean is less than the median in a left-skewed distribution.
Similar Questions
What does a negative skewness value indicate about a distribution?The distribution is skewed to the right.The distribution is skewed to the left.The distribution is symmetrical.The distribution is flat
If the shape of a frequency distribution is lopsided, with a long tail projecting longer to the right than to the left, how would the distribution be skewed?Choose onenormallynegativelypositivelyaverage
The skewness of the Normal distribution is ______.
dis-cuss the skewness of the distribution.
In a skewed distribution the mean and median will be at different locations in the distributionSelect one:TrueFalse
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.