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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

SituationBest Measure
Symmetric data, no outliersMean
Skewed data or outliersMedian
Categorical dataMode

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

  1. Outliers pull the mean toward them but don't affect the median
  2. To find the median of even-numbered data: average the two middle values
  3. 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 8,9,10,12,158, 9, 10, 12, 15

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: 5×20=1005 \times 20 = 100

Add new value: 100+32=132100 + 32 = 132

New mean: 1326=22\frac{132}{6} = 22

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: 3+8=113 + 8 = 11

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: 3+8=113 + 8 = 11

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: 6×15=906 \times 15 = 90

Step 2: Find the new sum: 7×17=1197 \times 17 = 119

Step 3: The 7th number = 119−90=29119 - 90 = 29

Check: (90+29)÷7=119÷7=17(90 + 29) \div 7 = 119 \div 7 = 17 ✓

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: 6×15=906 \times 15 = 90

Step 2: Find the new sum: 7×17=1197 \times 17 = 119

Step 3: The 7th number = 119−90=29119 - 90 = 29

Check: (90+29)÷7=119÷7=17(90 + 29) \div 7 = 119 \div 7 = 17 ✓

Answer: The 7th number is 29.

8Problem 8medium

❓ Question:

In a box plot, Q1=30Q_1 = 30, Median=45\text{Median} = 45, Q3=60Q_3 = 60, Min=10\text{Min} = 10, Max=85\text{Max} = 85. What is the IQR, and which single value, if added, would most change the mean but least change the median?

💡 Show Solution

IQR: Q3−Q1=60−30=30Q_3 - Q_1 = 60 - 30 = 30

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, Q1=30Q_1 = 30, Median=45\text{Median} = 45, Q3=60Q_3 = 60, Min=10\text{Min} = 10, Max=85\text{Max} = 85. What is the IQR, and which single value, if added, would most change the mean but least change the median?

💡 Show Solution

IQR: Q3−Q1=60−30=30Q_3 - Q_1 = 60 - 30 = 30

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:

  1. Random assignment to treatment groups — this controls for confounding variables
  2. Control group (traditional method) for comparison
  3. 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:

  1. Random assignment to treatment groups — this controls for confounding variables
  2. Control group (traditional method) for comparison
  3. 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: 10+12+14+16+185=14\frac{10+12+14+16+18}{5} = 14
  • Set B: 12+13+14+15+165=14\frac{12+13+14+15+16}{5} = 14

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: 10+12+14+16+185=14\frac{10+12+14+16+18}{5} = 14
  • Set B: 12+13+14+15+165=14\frac{12+13+14+15+16}{5} = 14

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.

Explain using:

📌 Related Topics in Problem-Solving and Data Analysis

❓ Frequently Asked Questions

What is Data Collection and Statistics?▾
Understand data collection methods, sampling, observational studies vs experiments, and draw valid conclusions from statistical data.
How can I study Data Collection and Statistics effectively?▾
Start by reading the study notes and working through the examples on this page. Then use the flashcards to test your recall. Practice with the 13 problems provided, checking solutions as you go. Regular review and active practice are key to retention.
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What course covers Data Collection and Statistics?▾
Data Collection and Statistics is part of the SAT Prep course on Study Mondo, specifically in the Problem-Solving and Data Analysis section. You can explore the full course for more related topics and practice resources.
Are there practice problems for Data Collection and Statistics?▾
Yes, this page includes 13 practice problems with detailed solutions. Each problem includes a step-by-step explanation to help you understand the approach.