2.7.11 · D4Statistics & Probability — Intermediate

Exercises — Combinations — nCr, Pascal's triangle

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Before we start, recall the two workhorses we will lean on the whole way. A combination counts how many ways to choose things from when the order does not matter. Its formula is:


Level 1 — Recognition

The goal here is only to decide which idea applies and read a value off, not heavy arithmetic.

L1.1

State whether each situation is a combination (order irrelevant) or a permutation (order matters): (a) choosing 3 toppings for a pizza from 8; (b) awarding gold, silver, bronze to 3 of 8 runners; (c) dealing a 5-card poker hand.

Recall Solution

WHAT we ask each time: "does swapping two chosen items change the outcome?" (a) Toppings on a pizza — mushroom-then-onion is the same pizza as onion-then-mushroom ⇒ order irrelevant ⇒ combination, . (b) Gold/silver/bronze are distinct prizes — swapping two runners changes who won gold ⇒ order matters ⇒ permutation, . (See Permutations — nPr.) (c) A poker hand is a set of cards; rearranging them in your hand is the same hand ⇒ combination, .

L1.2

Read these straight off the definition (no long multiplication): , , , .

Recall Solution
  • : exactly one way to choose nothing (the empty set). Uses .
  • : exactly one way to choose everybody.
  • : choosing one item from six — six choices.
  • by symmetry (choosing 8 to keep = choosing 1 to drop).

L1.3

In row of Pascal's triangle, which entry is , and what is it? Use the picture below.

Figure — Combinations — nCr, Pascal's triangle
Recall Solution

Rows are numbered from the top; positions are from the left. So is row 5, position 2, the highlighted coral cell. Its value is . Check: . ✓


Level 2 — Application

Now plug in and compute, using the falling-factor shortcut: write only the top falling factors of and divide by . Never expand a full factorial.

L2.1

Compute .

Recall Solution

WHAT: take falling factors on top, divide by . WHY the shortcut: , and the cancels the tail of , leaving exactly on top.

L2.2

A committee of 4 is chosen from 12 people. How many committees are possible?

Recall Solution

Order in a committee is irrelevant ⇒ combination.

L2.3

Compute the smart way.

Recall Solution

is large; convert to the smaller via symmetry: . WHY: choosing 47 to keep is the same decision as choosing 3 to discard, and 3 factors beat 47 factors.


Level 3 — Analysis

These need a case-split or a complement. Decide the structure before computing.

L3.1

From 6 men and 5 women, form a committee of 4 containing exactly 2 men.

Recall Solution

WHAT: the committee is built in two independent stages — pick the men, then the women.

  • Choose 2 men from 6: .
  • Choose the remaining 2 members (women) from 5: . WHY multiply: each choice of men can pair with each choice of women independently ⇒ multiply.

L3.2

From a standard deck, how many 5-card hands contain at least one ace? (There are 4 aces, 48 non-aces.)

Recall Solution

WHY use the complement: "at least one ace" splits into 1, 2, 3, or 4 aces — four cases. The opposite, "no ace," is a single count. Subtract it from the total.

  • Total hands: .
  • No-ace hands (all 5 from the 48 non-aces): .

L3.3

How many 4-person groups from 10 people include both Amit and Bina?

Recall Solution

WHAT: force Amit and Bina in, then fill the rest. If both are already chosen, we need more from the remaining people.


Level 4 — Synthesis

Combine several tools: complements, case-splits, and Pascal / binomial identities.

L4.1

A team of 5 is chosen from 7 boys and 4 girls with at least 2 girls. How many ways?

Recall Solution

WHY case-split (not complement): "at least 2 girls" with only 4 girls means girls — three tidy cases, and the complement ("0 or 1 girl") is also two cases, so either way is fine. Split by girl-count:

  • 2 girls, 3 boys: .
  • 3 girls, 2 boys: .
  • 4 girls, 1 boy: . These are disjoint and exhaustive ⇒ add:

L4.2

Using the row-sum identity , find the number of non-empty subsets of a 6-element set.

Recall Solution

WHY : every element is independently either IN or OUT of a subset — 2 choices each, elements ⇒ total subsets. This equals the sum of all because we can also count subsets by size and add over . (See Pascal's Triangle patterns.) Total subsets: . Remove the one empty subset:

L4.3

Verify Pascal's rule numerically for : show .

Recall Solution

Right-hand side: and , so . ✓ WHY it works (story): fix one person, say Ravi. Committees of 3 from 6 either contain Ravi (then 2 more from the other 5 ⇒ ) or not (3 from the other 5 ⇒ ). Disjoint and exhaustive ⇒ add.


Level 5 — Mastery

Prove and reason with the identities themselves.

L5.1

Prove the symmetry from the formula, and explain it in one sentence of counting.

Recall Solution

Algebra: replace by in the formula: The denominator is just the same two factorials swapped, so the values are equal. Counting sentence: every choice of items to keep is the same decision as choosing the items to leave out — one action, two names.

L5.2

Prove the hockey-stick identity for a small case: Confirm numerically and explain via Pascal's rule.

Recall Solution

Numeric check: . ✓ WHY (telescoping with Pascal): Pascal's rule says , i.e. . Summing makes the terms cancel in a chain (telescope), leaving . Geometrically it is the "hockey stick": a diagonal run of entries in the triangle sums to the entry just below-and-left of its end.

Figure — Combinations — nCr, Pascal's triangle

L5.3

Show that using the Binomial Theorem, and check for .

Recall Solution

The Binomial Theorem says . WHY set : that makes every power equal to 1, so each term is just its coefficient , and the left side becomes . Hence Check : . ✓ (This is the row-sum used in L4.2 — see Probability — counting outcomes for why counts all yes/no outcomes.)


Recall Final self-check (all answers)

L2.1 · L2.2 · L2.3 · L3.1 · L3.2 · L3.3 · L4.1 · L4.2 · L4.3 · L5.2 · L5.3 .

Connections

  • Permutations — nPr — L1 distinguishes ordered vs unordered counts.
  • Factorials and 0! — powers every shortcut and the edge case.
  • Binomial Theorem — L5.3 uses it to get row sums .
  • Probability — counting outcomes — subset counts feed probabilities.
  • Pascal's Triangle patterns — L1.3, L4.2, L5.2 use rows, row-sums, hockey-stick.