4. The Age variable has the following statistics, which of the following is an outlier? • Mean = 29.6; • Standard deviation = 14.5; • First quartile (Q1) = 20.12; • Second quartile (Q2) = 28; • Third Quartile (Q3) = 38; • Min = 0.42; • Max = 80; 12 23 70 40
Added by Brianna E.
Close
Step 1
In this case, the IQR is 38 - 20.12 = 17.88. Show more…
Show all steps
Your feedback will help us improve your experience
Mohan Jain and 59 other AP CS educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Refer to the age distribution table to the right. (a) Find the first quartile of the data set. (b) Find the third quartile of the data set. (c) Find the 65th percentile of the data set. The first quartile of the data set is . (b) The third quartile of the data set is . (c) The 65th percentile of the data set is . Enter your answer in each of the answer boxes.
Keondre P.
Consider the following partial sample information for a sample of size 20: Median=Q2 = 202.2, Lower fourth=First Quartile=Q1 = 196.0, Upper fourth=Third Quartile=Q3 = 216.8. Three smallest observations: 125.8, 188.1, 193.7 Three largest observations: 221.3, 230.5, 250.2 Which of the following is an extreme outlier?
Adi S.
The sample data below represent the ages of 24 college professors: 75 54 55 60 66 57 66 Find the population mean (One decimal place). Find the population standard deviation (One decimal place). Find the range. If the professor's age is 75 years old, then that age is considered an outlier. The five summary numbers (min, Q1, Q2, Q3, max): Find the IQR. Checking for outliers. Construct a boxplot for the data.
Ahmet Y.
Recommended Textbooks
Computer Science and Information Technology
Introduction to Programming Using Python
Computer Science - An Overview
Watch the video solution with this free unlock.
EMAIL
PASSWORD