Question

True or false: Outliers can cause data sets to be skewed.

Answer 1

True - since the outlier is way off it will cause your average to mess up which is why we test multiple times to make sure we are more accurate with our numbers

Answer 2

Answer:

True

Step-by-step explanation:

1. Firstly, the definition of an outlier is a number farther away from the general populous of digits. For example, a number line can have a lot of numbers clustered at 2, 3, and 4 but might have one way over on 10. This would mean 10 is an outlier.
2. Secondly, a skew is when a dot plot or a box and whisker plot is shaped a certain way. A negative skew would be a graph sloping to the right, and a positive skew is a graph sloping to the left. It looks a bit like a hill.
3. Knowing that the shape is made up of the different numbers and their amount, we can conclude that an outlier, or a number that is stretched far from the others, would affect the data set.
4. This means that the skew might change if there is a variable that is out of place.

If I am incorrect in my reasoning, please let me know so that I can plan better for my future answers. Have an amazing day.