Determine whether the statement is true or false. If it is false rewrite it as a true statement

An outlier is any number above

Upper Q 3Q3

or below

Upper Q 1Q1.

The given statement is **false**. 

An outlier is not just any number above \( Q_3 \) (upper quartile) or below \( Q_1 \) (lower quartile). The correct definition involves the **interquartile range (IQR)**.

### Corrected Statement:
An outlier is any number greater than \( Q_3 + 1.5 \times IQR \) or less than \( Q_1 - 1.5 \times IQR \), where \( IQR = Q_3 - Q_1 \).

Would you like further explanation or have any questions on this topic?

### Related Questions:
1. What is the interquartile range (IQR)?
2. How do you calculate the first and third quartiles?
3. Why are outliers important in data analysis?
4. What are the effects of outliers on statistical measures like mean and median?
5. How does the 1.5 rule for outliers relate to the spread of data?

### Tip:
When identifying outliers, remember that extreme values can significantly affect statistical results, especially in small datasets.

Determine whether the statement is true or false. If it is false rewrite it as a true statement: An outlier is any number above Upper Q 3Q3 or below Upper Q 1Q1.

Learn how to identify outliers in data sets using the Interquartile Range (IQR) method. This concept involves understanding quartiles and the IQR formula. Suitable for students in Grades 9-12 studying statistics.

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