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”)

  1. Mean (Average): .
    • Sensitive to Outliers: One big number pulls the mean towards it.
  2. Median (Middle): The middle value when sorted.
    • Odd : The exact middle number.
    • Even : Average of the two middle numbers.
    • Robust: Not affected by outliers.
  3. Mode (Most Frequent): The value that appears most often.
    • Can be Unimodal (1), Bimodal (2), or Multimodal.

1.2 Measures of Position

  1. 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.
  2. 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:

  1. Table: Make columns for and .
  2. Product: Calculate .
  3. Sums: Find (Total Count) and (Total Sum).
  4. Equation: Set .
  5. Solve: Solve for .

Example (Detailed Solution)

Problem: Values 2, 6. Frequencies . Mean = 4. Solution:

  1. Sums:
    • Count = .
    • Sum = .
  2. 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:

  1. Old Sum: .
  2. Adjust Sum: .
  3. New Mean: .

Example (Detailed Solution)

Problem: , Mean=20. Wrong=5, Correct=15. Solution:

  1. Old Sum: .
  2. Adjust: .
  3. 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:

  1. Plug in: .
  2. Calc: . Answer: New Mean = 23.

Pattern 4: Finding Percentiles

Context: “Data: 10, 20, 30, 40, 50. Find 30th Percentile ().”

TIP

Mental Algorithm:

  1. Sort: Ensure data is sorted (Crucial!).
  2. Index: .
  3. 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:

  1. Index: .
  2. Decimal: Round UP to 2.
  3. Value: 2nd value is 20. Answer: 20.

3. Practice Exercises

  1. Correction: Mean of 5 items is 10. Added 2 to every item. New Mean?
    • Hint: .
  2. Median: Data: 5, 2, 9. Median?
    • Hint: Sort first! 2, 5, 9. Median is 5.
  3. 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:

  1. Total Frequency (): .
  2. Sum of Values ():
    • .
  3. Equation: .
  4. Solve:
    • .
    • .
    • .
  5. 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:

  1. Old Sum: .
  2. Correction: Remove wrong (7), Add correct (11). Net change .
  3. New Sum: .
  4. 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:

  1. Weighted Avg: .
  2. Solve:
    • .
    • .
    • . Answer: 35.2.