IM Unit 1 Lesson 14 - Outliers

Front

What is an outlier in a data set?

Back

An outlier is a data point that differs significantly from other observations in a data set. It can be much higher or lower than the rest of the data.

Front

How do you calculate the Interquartile Range (IQR)?

Back

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

Front

What does Q1 represent in a data set?

Back

Q1, or the first quartile, represents the value below which 25% of the data falls.

Front

What does Q3 represent in a data set?

Back

Q3, or the third quartile, represents the value below which 75% of the data falls.

Front

What is the formula to find the lower limit for outliers using IQR?

Back

The lower limit is calculated using the formula: Q1 - 1.5(IQR).

Front

What is the formula to find the upper limit for outliers using IQR?

Back

The upper limit is calculated using the formula: Q3 + 1.5(IQR).

Front

If a data point is below the lower limit, what is it considered?

Back

It is considered an outlier.

Front

If a data point is above the upper limit, what is it considered?

Back

It is considered an outlier.

Front

How does removing an outlier affect the mean of a data set?

Back

Removing an outlier typically increases the mean of the data set.

Front

How does removing an outlier affect the standard deviation of a data set?

Back

Removing an outlier typically decreases the standard deviation of the data set.