The following numbers of people attended the last 10 screenings of a movie. 196, 198, 199, 203, 203, 205, 206, 207, 208, 210 Complete the parts below to identify any outliers. (a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find 2₁ and 23 for the data set. 2₁ = 0 23= (b) Find the interquartile range (IQR) of the data set. IQR = X Lower boundary: Upper boundary: X (c) Calculate a lower boundary using Q₁-1.5-IQR. Calculate an upper boundary using Q3 +1.5-IQR. (Note th 1.5 IQR means 1.5 times the IQR.) X
The following numbers of people attended the last 10 screenings of a movie. 196, 198, 199, 203, 203, 205, 206, 207, 208, 210 Complete the parts below to identify any outliers. (a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find 2₁ and 23 for the data set. 2₁ = 0 23= (b) Find the interquartile range (IQR) of the data set. IQR = X Lower boundary: Upper boundary: X (c) Calculate a lower boundary using Q₁-1.5-IQR. Calculate an upper boundary using Q3 +1.5-IQR. (Note th 1.5 IQR means 1.5 times the IQR.) X
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![The following numbers of people attended the last 10 screenings of a movie:
196, 198, 199, 203, 205, 206, 207, 208, 210
Complete the parts below to identify any **outliers**.
(a) Let \( Q_1 \) be the **lower quartile** and \( Q_3 \) be the **upper quartile** of the data set. Find \( Q_1 \) and \( Q_3 \) for the data set.
\[ Q_1 = \_\_\_ \]
\[ Q_3 = \_\_\_ \]
(b) Find the **interquartile range (IQR)** of the data set.
\[ \text{IQR} = \_\_\_ \]
(c) Calculate a **lower boundary** using \( Q_1 - 1.5 \times \text{IQR} \). Calculate an **upper boundary** using \( Q_3 + 1.5 \times \text{IQR} \). (Note that 1.5 \(\times\) IQR means 1.5 times the IQR.)
\[ \text{Lower boundary:} \_\_\_ \]
\[ \text{Upper boundary:} \_\_\_ \]
(d) Any values less than the lower boundary or greater than the upper boundary are considered **outliers**. Identify the outliers of the data set. If there is more than one outlier, separate them with commas. If there are no outliers, click "None".
**Outliers:** \_\_\_
Options:
- [ ] None](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3bd49ae7-8b45-446c-8381-0655d7ffd02d%2F74eab1c2-599f-4975-9db5-52452aaa8fd5%2Fk7sp07g_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following numbers of people attended the last 10 screenings of a movie:
196, 198, 199, 203, 205, 206, 207, 208, 210
Complete the parts below to identify any **outliers**.
(a) Let \( Q_1 \) be the **lower quartile** and \( Q_3 \) be the **upper quartile** of the data set. Find \( Q_1 \) and \( Q_3 \) for the data set.
\[ Q_1 = \_\_\_ \]
\[ Q_3 = \_\_\_ \]
(b) Find the **interquartile range (IQR)** of the data set.
\[ \text{IQR} = \_\_\_ \]
(c) Calculate a **lower boundary** using \( Q_1 - 1.5 \times \text{IQR} \). Calculate an **upper boundary** using \( Q_3 + 1.5 \times \text{IQR} \). (Note that 1.5 \(\times\) IQR means 1.5 times the IQR.)
\[ \text{Lower boundary:} \_\_\_ \]
\[ \text{Upper boundary:} \_\_\_ \]
(d) Any values less than the lower boundary or greater than the upper boundary are considered **outliers**. Identify the outliers of the data set. If there is more than one outlier, separate them with commas. If there are no outliers, click "None".
**Outliers:** \_\_\_
Options:
- [ ] None
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