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Data Analysis Monitoring
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Data Analysis Monitoring
📊 Part 1: Scatter Plot Analysis
1. A scatter plot shows the relationship between hours of study and test scores for 20 students. The points generally trend upward from left to right. What type of association does this show?
Strong negative association
Weak positive association
Strong positive association
No association
2. In a scatter plot comparing temperature (°C) and ice cream sales ($), most data points are clustered around a line that slopes upward. One point shows very high sales on a cold day. This point is called:
An outlier
The mean
A trend line
The correlation
3. Which of the following would be best represented using a two-way table? (Select all that apply)
Comparing favourite subjects by year level
Height measurements over time
Pet ownership by gender
Daily temperature readings
4. Explain what it means when two variables have a "strong positive association" in a scatter plot:
📰 Part 2: Media Analysis and Bias
5. A newspaper headline reads: "Study shows 90% of teenagers prefer online learning!" However, the study only surveyed 50 students from one private school. What type of bias is present?
Sample size bias
Selection bias
Both sample size and selection bias
No bias present
6. A health website claims "People who drink green tea live longer!" based on a survey. What additional information would you need to evaluate this claim? (Select all that apply)
Sample size and demographics
How the data was collected
Other lifestyle factors considered
Who funded the study
7. A graph in a magazine shows that ice cream sales and drowning incidents both increase in summer. The article concludes that "ice cream causes drowning." Explain why this conclusion is incorrect:
8. When evaluating statistical claims in the media, list three questions you should always ask about the data source:
1. _________________________________________________
2. _________________________________________________
3. _________________________________________________
🔍 Part 3: Data Interpretation
9. A two-way table shows mobile phone usage by age group. The table reveals that 85% of teenagers use smartphones, compared to 45% of adults over 65. What can you reasonably conclude?
Age definitely determines phone preference
There appears to be an association between age and smartphone usage
Older people don't understand technology
The data is biased
10. You're analysing data about study hours and exam results. Before drawing conclusions, you should check for:
Outliers that might affect the pattern
Whether the relationship is linear or curved
The strength of the association
Other factors that might influence exam results
11. Describe the difference between correlation and causation, and give an example:
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