Data Collection and Statistics
Understand data collection methods, sampling, observational studies vs experiments, and draw valid conclusions from statistical data.
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Data Collection and Statistics
Measures of Center
- Mean: Sum of all values divided by the number of values. Sensitive to outliers.
- Median: Middle value when data is ordered. Resistant to outliers.
- Mode: Most frequently occurring value.
When to Use Which
| Situation | Best Measure |
|---|---|
| Symmetric data, no outliers | Mean |
| Skewed data or outliers | Median |
| Categorical data | Mode |
Measures of Spread
- Range: Maximum – Minimum
- Interquartile Range (IQR): Q3 – Q1 (middle 50% of data)
- Standard Deviation: Average distance from the mean
Data Collection Methods
- Random sample: Every member of the population has an equal chance of being selected
- Stratified sample: Population divided into groups, random sample from each
- Convenience sample: Non-random, may introduce bias
- Observational study: Researchers observe without intervention
- Experiment: Researchers assign treatments to subjects
Bias Types
- Selection bias: Sample not representative of population
- Response bias: Question wording influences answers
- Non-response bias: Some selected individuals don't participate
Box Plots and Histograms
- Box plots show the five-number summary: min, Q1, median, Q3, max
- Histograms show frequency distribution across intervals
SAT Tips
- Outliers pull the mean toward them but don't affect the median
- To find the median of even-numbered data: average the two middle values
- Read study descriptions carefully to identify bias
📚 Practice Problems
1Problem 1easy
❓ Question:
Find the median of: 12, 8, 15, 10, 9
💡 Show Solution
Solution:
Step 1: Put in order
Step 2: Find middle value 5 numbers, so middle is 3rd value
Answer: 10
SAT Tip: ALWAYS order the data first when finding median!
2Problem 2medium
❓ Question:
A dataset has 5 values with a mean of 20. If a 6th value of 32 is added, what is the new mean?
💡 Show Solution
Solution:
Original sum:
Add new value:
New mean:
Answer: 22
SAT Tip: Mean × count = sum. Use this to find totals!
3Problem 3hard
❓ Question:
A study found that students who eat breakfast tend to have higher test scores. Which conclusion is valid?
A) Eating breakfast causes higher test scores B) There is an association between eating breakfast and test scores C) Students should be required to eat breakfast D) Skipping breakfast lowers intelligence
💡 Show Solution
Solution:
Key word: "tend to" = correlation/association
Check each:
- A) Causes - too strong! Correlation ≠ causation ❌
- B) Association - this is what the data shows ✓
- C) Should be required - policy decision, not data conclusion ❌
- D) Lowers intelligence - causation + extreme claim ❌
Answer: B - There is an association
SAT Tip: Studies show correlation/association. Saying "causes" requires controlled experiments!
4Problem 4easy
❓ Question:
A histogram shows the following frequencies for test scores: 60-69: 3 students 70-79: 8 students 80-89: 12 students 90-100: 7 students
How many students scored below 80?
💡 Show Solution
Step 1: Add the frequencies for intervals below 80:
Answer: 11 students scored below 80.
SAT Tip: On histograms, "below 80" includes the 60-69 and 70-79 intervals. Be careful about whether the boundary value is included.
5Problem 5easy
❓ Question:
A histogram shows the following frequencies for test scores: 60-69: 3 students 70-79: 8 students 80-89: 12 students 90-100: 7 students
How many students scored below 80?
💡 Show Solution
Step 1: Add the frequencies for intervals below 80:
Answer: 11 students scored below 80.
SAT Tip: On histograms, "below 80" includes the 60-69 and 70-79 intervals. Be careful about whether the boundary value is included.
6Problem 6medium
❓ Question:
The mean of 6 numbers is 15. When a 7th number is added, the mean becomes 17. What is the 7th number?
💡 Show Solution
Step 1: Find the original sum:
Step 2: Find the new sum:
Step 3: The 7th number =
Check: ✓
Answer: The 7th number is 29.
7Problem 7medium
❓ Question:
The mean of 6 numbers is 15. When a 7th number is added, the mean becomes 17. What is the 7th number?
💡 Show Solution
Step 1: Find the original sum:
Step 2: Find the new sum:
Step 3: The 7th number =
Check: ✓
Answer: The 7th number is 29.
8Problem 8medium
❓ Question:
In a box plot, , , , , . What is the IQR, and which single value, if added, would most change the mean but least change the median?
💡 Show Solution
IQR:
Effect of adding an extreme value: Adding a very large value (e.g., 200) would:
- Mean: Increase significantly (the mean is sensitive to extremes)
- Median: Change very little (the median is resistant to outliers — it only depends on the middle value)
Answer: IQR = 30. An extreme outlier (very large or very small) would most change the mean but least change the median.
9Problem 9medium
❓ Question:
In a box plot, , , , , . What is the IQR, and which single value, if added, would most change the mean but least change the median?
💡 Show Solution
IQR:
Effect of adding an extreme value: Adding a very large value (e.g., 200) would:
- Mean: Increase significantly (the mean is sensitive to extremes)
- Median: Change very little (the median is resistant to outliers — it only depends on the middle value)
Answer: IQR = 30. An extreme outlier (very large or very small) would most change the mean but least change the median.
10Problem 10hard
❓ Question:
A researcher wants to determine if a new teaching method improves test scores. She randomly assigns 50 students to use the new method and 50 to use the traditional method. The new method group has a mean score of 82, while the traditional group has a mean of 78. Can she conclude the new method CAUSES higher scores?
💡 Show Solution
Answer: YES — with appropriate caveats.
Why: This is a randomized controlled experiment, not just an observational study.
Key features that allow a causal conclusion:
- Random assignment to treatment groups — this controls for confounding variables
- Control group (traditional method) for comparison
- Same number in each group
However, she should also consider:
- Statistical significance — is the 4-point difference large enough to not be due to chance? (She'd need a p-value or confidence interval.)
- Practical significance — is a 4-point difference meaningful in practice?
SAT Rule:
- Randomized experiment → CAN conclude causation
- Observational study → can only conclude ASSOCIATION
11Problem 11hard
❓ Question:
A researcher wants to determine if a new teaching method improves test scores. She randomly assigns 50 students to use the new method and 50 to use the traditional method. The new method group has a mean score of 82, while the traditional group has a mean of 78. Can she conclude the new method CAUSES higher scores?
💡 Show Solution
Answer: YES — with appropriate caveats.
Why: This is a randomized controlled experiment, not just an observational study.
Key features that allow a causal conclusion:
- Random assignment to treatment groups — this controls for confounding variables
- Control group (traditional method) for comparison
- Same number in each group
However, she should also consider:
- Statistical significance — is the 4-point difference large enough to not be due to chance? (She'd need a p-value or confidence interval.)
- Practical significance — is a 4-point difference meaningful in practice?
SAT Rule:
- Randomized experiment → CAN conclude causation
- Observational study → can only conclude ASSOCIATION
12Problem 12expert
❓ Question:
Set A has values {10, 12, 14, 16, 18} and Set B has values {12, 13, 14, 15, 16}. Without calculating, which set has the larger standard deviation? Explain.
💡 Show Solution
Set A has the larger standard deviation.
Reasoning: Both sets have the same mean:
- Set A:
- Set B:
Set A has values that are more spread out from 14 (ranging from 10 to 18, each value 2 units apart from the next).
Set B has values that are more tightly clustered around 14 (ranging from 12 to 16, each value only 1 unit apart).
Since standard deviation measures how far values are from the mean on average, Set A has the larger standard deviation.
Answer: Set A
SAT Tip: You don't need to calculate SD on the SAT — just understand that wider spread = larger SD.
13Problem 13expert
❓ Question:
Set A has values {10, 12, 14, 16, 18} and Set B has values {12, 13, 14, 15, 16}. Without calculating, which set has the larger standard deviation? Explain.
💡 Show Solution
Set A has the larger standard deviation.
Reasoning: Both sets have the same mean:
- Set A:
- Set B:
Set A has values that are more spread out from 14 (ranging from 10 to 18, each value 2 units apart from the next).
Set B has values that are more tightly clustered around 14 (ranging from 12 to 16, each value only 1 unit apart).
Since standard deviation measures how far values are from the mean on average, Set A has the larger standard deviation.
Answer: Set A
SAT Tip: You don't need to calculate SD on the SAT — just understand that wider spread = larger SD.
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