The image displays a question prompt asking users to approximate the sample size using an ogive graph. Below the prompt, there are multiple-choice options listed as follows: - Option A: 80 - Option B: 28 - Option C: 341 - Option D: 100 There is no graph or diagram visible to provide further detail. The image displays a cumulative frequency graph titled "Leisure Time of College Students." **Graph Details:** - **X-axis (Horizontal):** Represents the "Number of hours" of leisure time, marked in intervals from 9.5 to 39.5. - **Y-axis (Vertical):** Represents the "Cumulative frequency" of students, ranging from 10 to 80. **Graph Description:** - The graph starts at the lower end with approximately 10 students having around 9.5 hours of leisure time. - As the number of hours increases, the cumulative frequency also increases, indicating that more students are accumulating leisure time. - There is a noticeable steep rise between 14.5 and 24.5 hours, suggesting a significant number of students have leisure time within this range. - After reaching about 70 students at 24.5 hours, the increase in cumulative frequency slows down and levels off near 80 students as it approaches 39.5 hours. The graph effectively illustrates how leisure time is distributed among college students, highlighting which time ranges are most common.
The image displays a question prompt asking users to approximate the sample size using an ogive graph. Below the prompt, there are multiple-choice options listed as follows: - Option A: 80 - Option B: 28 - Option C: 341 - Option D: 100 There is no graph or diagram visible to provide further detail. The image displays a cumulative frequency graph titled "Leisure Time of College Students." **Graph Details:** - **X-axis (Horizontal):** Represents the "Number of hours" of leisure time, marked in intervals from 9.5 to 39.5. - **Y-axis (Vertical):** Represents the "Cumulative frequency" of students, ranging from 10 to 80. **Graph Description:** - The graph starts at the lower end with approximately 10 students having around 9.5 hours of leisure time. - As the number of hours increases, the cumulative frequency also increases, indicating that more students are accumulating leisure time. - There is a noticeable steep rise between 14.5 and 24.5 hours, suggesting a significant number of students have leisure time within this range. - After reaching about 70 students at 24.5 hours, the increase in cumulative frequency slows down and levels off near 80 students as it approaches 39.5 hours. The graph effectively illustrates how leisure time is distributed among college students, highlighting which time ranges are most common.
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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Transcribed Image Text:The image displays a question prompt asking users to approximate the sample size using an ogive graph. Below the prompt, there are multiple-choice options listed as follows:
- Option A: 80
- Option B: 28
- Option C: 341
- Option D: 100
There is no graph or diagram visible to provide further detail.
Transcribed Image Text:The image displays a cumulative frequency graph titled "Leisure Time of College Students."
**Graph Details:**
- **X-axis (Horizontal):** Represents the "Number of hours" of leisure time, marked in intervals from 9.5 to 39.5.
- **Y-axis (Vertical):** Represents the "Cumulative frequency" of students, ranging from 10 to 80.
**Graph Description:**
- The graph starts at the lower end with approximately 10 students having around 9.5 hours of leisure time.
- As the number of hours increases, the cumulative frequency also increases, indicating that more students are accumulating leisure time.
- There is a noticeable steep rise between 14.5 and 24.5 hours, suggesting a significant number of students have leisure time within this range.
- After reaching about 70 students at 24.5 hours, the increase in cumulative frequency slows down and levels off near 80 students as it approaches 39.5 hours.
The graph effectively illustrates how leisure time is distributed among college students, highlighting which time ranges are most common.
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