Based on this five number summary, are there any outliers in the data? No outliers at least one upper outlier at least one lower outlier cannot be determined Min = 12 Q1 = 16 Med=22 Q3 = 27 Max = 45

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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**Question:**

Based on this five number summary, are there any outliers in the data?

- **Min = 12**
- **Q1 = 16**
- **Med = 22**
- **Q3 = 27**
- **Max = 45**

**Options:**

- No outliers
- At least one upper outlier
- At least one lower outlier
- Cannot be determined

**Explanation:**

This problem involves analyzing a five-number summary to detect potential outliers within a dataset. The five-number summary consists of the minimum value, first quartile (Q1), median, third quartile (Q3), and maximum value. Based on these statistics, we can evaluate whether the dataset may contain outliers. The options provided allow for conclusions regarding the presence of upper, lower, or undetermined outliers.
Transcribed Image Text:**Question:** Based on this five number summary, are there any outliers in the data? - **Min = 12** - **Q1 = 16** - **Med = 22** - **Q3 = 27** - **Max = 45** **Options:** - No outliers - At least one upper outlier - At least one lower outlier - Cannot be determined **Explanation:** This problem involves analyzing a five-number summary to detect potential outliers within a dataset. The five-number summary consists of the minimum value, first quartile (Q1), median, third quartile (Q3), and maximum value. Based on these statistics, we can evaluate whether the dataset may contain outliers. The options provided allow for conclusions regarding the presence of upper, lower, or undetermined outliers.
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