GMAT Statistics Combinatorics

Author: Brian Galvin

Size of File: 13MB

Number Of Pages: 297

Language: English

Category : GMAT

Page Quality: Good

GMAT Statistics Combinatorics Notes Download Link

Here’s a structured guide on GMAT Statistics & Combinatorics to help you master these concepts efficiently.

GMAT Statistics & Combinatorics Strategy Guide

1. Statistics Concepts for GMAT

Mean (Average)

  • Formula: Mean=∑valuesnumber of values\text{Mean} = \frac{\sum \text{values}}{\text{number of values}}
  • Properties:
    • The mean is sensitive to outliers.
    • The sum of deviations from the mean is always zero.

Median

  • The middle value when numbers are arranged in ascending order.
  • If there are odd numbers, the median is the middle term.
  • If there are even numbers, the median is the average of the two middle numbers.
  • Less affected by outliers than the mean.

Mode

  • The most frequently occurring number in a set.
  • A set may have one mode (unimodal), multiple modes (multimodal), or no mode (if all numbers appear equally).

Range & Standard Deviation

  • Range = Largest number – Smallest number
  • Standard Deviation (SD):
    • Measures how far numbers are from the mean.
    • Larger SD means more spread; smaller SD means more clustered.
    • If all numbers in a set are increased/decreased by the same value, SD remains the same.
    • If all numbers are multiplied/divided by a constant, SD is multiplied/divided by the absolute value of that constant.

Quartiles & Interquartile Range (IQR)

  • Q1 (First Quartile): Median of the lower half of data.
  • Q3 (Third Quartile): Median of the upper half of data.
  • IQR = Q3 - Q1 (Measures the spread of the middle 50% of the data).

2. Combinatorics Concepts for GMAT

Fundamental Counting Principle

  • If one event can happen in m ways and another independent event can happen in n ways, the total number of outcomes is: m×nm \times n

Permutations (Order Matters!)

  • Used when order matters (e.g., rankings, seat arrangements).

  • Formula for arranging n distinct objects:

    P(n,r)=n!(n−r)!P(n, r) = \frac{n!}{(n-r)!}

    Where:

    • n = Total elements
    • r = Chosen elements
  • Special case: Arranging n objects:

    n!n!

  • Arranging with repetition:

    If there are n objects where some are identical, use:

    n!k1!×k2!×…\frac{n!}{k_1! \times k_2! \times \dots}

    Example: Arranging the word MISSISSIPPI (11 letters: M=1, I=4, S=4, P=2)

    11!1!4!4!2!\frac{11!}{1!4!4!2!}

Combinations (Order Doesn’t Matter!)

  • Used when order does not matter (e.g., selecting a committee).

  • Formula:

    C(n,r)=n!r!(n−r)!C(n, r) = \frac{n!}{r!(n-r)!}

  • Example: Choosing 3 out of 5 students:

    C(5,3)=5!3!(5−3)!=5!3!2!=10C(5,3) = \frac{5!}{3!(5-3)!} = \frac{5!}{3!2!} = 10

3. Advanced GMAT Combinatorics Strategies

Combination vs. Permutation Shortcut

  • If order matters → Use permutation
  • If order doesn’t matter → Use combination

"At Least One" Problems

  • Use the complement principle: P(at least one)=1−P(none)\text{P(at least one)} = 1 - \text{P(none)}

Circular Arrangements

  • Formula for circular permutations of n objects:

    (n−1)!(n-1)!

  • Example: 6 people sit around a circular table:

    (6−1)!=5!=120(6-1)! = 5! = 120

Combinations with Restrictions

  • If a certain person must be included: First select that person, then choose the rest normally.
  • If a certain person cannot be included: Exclude that person first, then choose the rest.

4. GMAT Probability & Overlap with Combinatorics

Probability Formula

Probability=Favorable OutcomesTotal Outcomes\text{Probability} = \frac{\text{Favorable Outcomes}}{\text{Total Outcomes}}

"Or" vs. "And" Rules in Probability

  • AND (Multiplication Rule, Independent Events): P(A and B)=P(A)×P(B)P(A \text{ and } B) = P(A) \times P(B)
  • OR (Addition Rule, Mutually Exclusive Events): P(A or B)=P(A)+P(B)P(A \text{ or } B) = P(A) + P(B)

Binomial Probability (Rarely Tested but Useful)

  • If each trial has two outcomes (Success, Failure), use Binomial Distribution: P(k)=C(n,k)pk(1−p)n−kP(k) = C(n, k) p^k (1-p)^{n-k} Where:
    • n = total trials
    • k = number of successes
    • p = probability of success

5. GMAT Test-Taking Strategies for Statistics & Combinatorics

Memorize key formulas (especially permutations, combinations, and probability).

Use logic and elimination—GMAT often provides unnecessary information to distract.

For probability questions, consider using complement method to simplify calculations.

For complex counting problems, break them into smaller, manageable steps.

Use simple cases for verification—If stuck, try smaller numbers to find a pattern.

Would you like additional practice problems or explanations on any topic?

Turbocharge your GMAT: Quantitative Question Bank

GMAT Club Math Book

GMAT Statistics Combinatorics

gmat-for-dummies-7th-edition.pdf

Turbocharge your GMAT: Quantitative Question Bank

error: