Stats 1 Week 3: Measures of Central Tendency & Position
0. Prerequisites
NOTE
What you need to know:
- Summation (): Adding up a list of numbers.
- Algebra: Solving for in equations like .
- Sorting: Arranging numbers from smallest to largest (Crucial for Median!).
Quick Refresher
- : Sample Mean.
- : Population Mean.
- : Sample size.
- : Population size.
1. Core Concepts
1.1 Measures of Central Tendency (The “Center”)
- Mean (Average): .
- Sensitive to Outliers: One big number pulls the mean towards it.
- Median (Middle): The middle value when sorted.
- Odd : The exact middle number.
- Even : Average of the two middle numbers.
- Robust: Not affected by outliers.
- Mode (Most Frequent): The value that appears most often.
- Can be Unimodal (1), Bimodal (2), or Multimodal.
1.2 Measures of Position
- Percentiles (): Value below which of data falls.
- Formula: Index .
- If is integer: Average of -th and -th values.
- If is decimal: Round UP to next integer.
- Quartiles: Splits data into 4 chunks.
- (25th Percentile).
- (Median).
- (75th Percentile).
2. Pattern Analysis & Goated Solutions
Pattern 1: Finding Missing Frequency ()
Context: “Data: 2, 6, 11. Frequencies: . Mean is 5.63. Find .”
TIP
Mental Algorithm:
- Table: Make columns for and .
- Product: Calculate .
- Sums: Find (Total Count) and (Total Sum).
- Equation: Set .
- Solve: Solve for .
Example (Detailed Solution)
Problem: Values 2, 6. Frequencies . Mean = 4. Solution:
- Sums:
- Count = .
- Sum = .
- Equation: .
- . (This example is trivial, but shows the logic. Usually you get an equation like ).
Pattern 2: Correcting the Mean (Wrong Data Entry)
Context: “Mean of 10 observations is 20. One value 15 was wrongly noted as 5. Find correct mean.”
TIP
Mental Algorithm:
- Old Sum: .
- Adjust Sum: .
- New Mean: .
Example (Detailed Solution)
Problem: , Mean=20. Wrong=5, Correct=15. Solution:
- Old Sum: .
- Adjust: .
- New Mean: . Answer: 21.
Pattern 3: Effect of Linear Transformation ()
Context: “Mean of is 10. Median is 8. If , find new Mean and Median.”
TIP
Mental Algorithm:
- Mean/Median/Mode: They follow the exact same change.
- .
- .
- Note: This does NOT apply to Standard Deviation (Week 4).
Example (Detailed Solution)
Problem: Mean=10. Transform . Solution:
- Plug in: .
- Calc: . Answer: New Mean = 23.
Pattern 4: Finding Percentiles
Context: “Data: 10, 20, 30, 40, 50. Find 30th Percentile ().”
TIP
Mental Algorithm:
- Sort: Ensure data is sorted (Crucial!).
- Index: .
- Decision:
- Integer?: Take average of -th and -th.
- Decimal?: Round UP to next integer. Take that value.
Example (Detailed Solution)
Problem: Data: 10, 20, 30, 40, 50 (). Find . Solution:
- Index: .
- Decimal: Round UP to 2.
- Value: 2nd value is 20. Answer: 20.
3. Practice Exercises
- Correction: Mean of 5 items is 10. Added 2 to every item. New Mean?
- Hint: .
- Median: Data: 5, 2, 9. Median?
- Hint: Sort first! 2, 5, 9. Median is 5.
- Percentile: . Index for ?
- Hint: (Integer). Average of 25th and 26th.
🧠 Level Up: Advanced Practice
Question 1: Finding ‘x’ from Mean
Problem: Frequencies are for values 2, 6, 11, 14. Mean is 5.63. Find . Logic:
- Total Frequency (): .
- Sum of Values ():
- .
- Equation: .
- Solve:
- .
- .
- .
- Constraint: Frequency must be integer? “Enter next highest integer” → 4. Answer: 4.
Question 2: Correcting the Mean
Problem: Mean of 6 obs is 19. One obs 11 was wrongly noted as 7. Correct Mean? Logic:
- Old Sum: .
- Correction: Remove wrong (7), Add correct (11). Net change .
- New Sum: .
- New Mean: . Answer: 19.67.
Question 3: Combined Mean
Problem: Section A (15 students, avg 32), Section B (25 students, avg ). Combined avg 34. Logic:
- Weighted Avg: .
- Solve:
- .
- .
- . Answer: 35.2.