On the basis of this double bar chart, can we conclude causation? (Can we conclude that an increase in age causes more teenagers to work)? Students Who Worked Ages 14-18 30 25 20 Worked Did Not 15 10 14 15 16 17 18 Ages Yes O No Number of Students

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**Title: Analyzing Teenage Work Habits**

**Introduction:**
This section explores the patterns of teenagers working between the ages of 14 to 18, presented through a double bar chart. The data allows us to evaluate whether age influences the likelihood of teenagers engaging in work activities.

**Graph Description:**
The chart is titled "Students Who Worked Ages 14-18". It features a vertical axis labeled "Number of Students" ranging from 0 to 30 and a horizontal axis labeled "Ages" covering ages 14 to 18.

**Bar Chart Details:**
- Each age group has two bars: one represents students who worked (blue) and the other represents those who did not work (red).
- At age 14, more students did not work compared to those who did.
- Ages 15 and 16 show a balanced number of students working and not working.
- At ages 17 and 18, a significant increase in the number of students working is observed, surpassing those who did not work.

**Discussion:**
The data indicates a trend where older teenagers are more likely to work. However, the chart alone cannot determine causation - it does not definitively show that age causes more teenagers to work.

**Conclusion Question:**
Based on the bar chart, can we conclude causation? (Can we conclude that an increase in age causes more teenagers to work)?
- Options: 
  - Yes
  - No

This exercise helps in understanding correlation and causation in data analysis.
Transcribed Image Text:**Title: Analyzing Teenage Work Habits** **Introduction:** This section explores the patterns of teenagers working between the ages of 14 to 18, presented through a double bar chart. The data allows us to evaluate whether age influences the likelihood of teenagers engaging in work activities. **Graph Description:** The chart is titled "Students Who Worked Ages 14-18". It features a vertical axis labeled "Number of Students" ranging from 0 to 30 and a horizontal axis labeled "Ages" covering ages 14 to 18. **Bar Chart Details:** - Each age group has two bars: one represents students who worked (blue) and the other represents those who did not work (red). - At age 14, more students did not work compared to those who did. - Ages 15 and 16 show a balanced number of students working and not working. - At ages 17 and 18, a significant increase in the number of students working is observed, surpassing those who did not work. **Discussion:** The data indicates a trend where older teenagers are more likely to work. However, the chart alone cannot determine causation - it does not definitively show that age causes more teenagers to work. **Conclusion Question:** Based on the bar chart, can we conclude causation? (Can we conclude that an increase in age causes more teenagers to work)? - Options: - Yes - No This exercise helps in understanding correlation and causation in data analysis.
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