Distribution Shapes and Outliers

Front

What does it mean if a distribution is skewed left?

Back

A left-skewed distribution has a longer tail on the left side, indicating that the majority of the data points are concentrated on the right.

Front

What does it mean if a distribution is skewed right?

Back

A right-skewed distribution has a longer tail on the right side, indicating that the majority of the data points are concentrated on the left.

Front

What is a symmetrical distribution?

Back

A symmetrical distribution is one where the left and right sides of the distribution are mirror images of each other.

Front

What is a uniform distribution?

Back

A uniform distribution is one where all outcomes are equally likely, resulting in a flat shape.

Front

What is an outlier?

Back

An outlier is a data point that significantly differs from other observations in a dataset.

Front

How do you calculate the Interquartile Range (IQR)?

Back

IQR = Q3 - Q1, where Q3 is the third quartile and Q1 is the first quartile.

Front

What is the 1.5 IQR rule for identifying outliers?

Back

An outlier is any data point that is less than Q1 - 1.5 * IQR or greater than Q3 + 1.5 * IQR.

Front

What is the purpose of the upper fence in outlier detection?

Back

The upper fence helps to determine the threshold above which data points are considered outliers.

Front

How do you find the upper fence using the IQR?

Back

Upper Fence = Q3 + 1.5 * IQR.

Front

What is the lower fence in outlier detection?

Back

The lower fence helps to determine the threshold below which data points are considered outliers.