When a distribution is skewed, this means that there is at least one value that changes the shape of the distribution. This value is much different from the rest of the data; this makes it an outlier.
An outlier has an affect on the mean; if it is higher than the rest of the data, it increases the mean. If the outlier is lower than the rest of the data, it decreases the mean.
Most likely true. It depends. When the distribution is skewed with an extreme tilting it to one side, median would be a better measure of central tendency. If the extremities are almost balanced on both sides then mean would be a better measure of central tendency.
He must get a 65 as a minimum grade on his third test to get an average of 70. Equation is 85 + 60 + x ------------------- greater than or equal to 70 3
