Probability Without Replacement: Heart Then Diamond

Probability 9th-10th Grade
Problem
Two cards are selected from a standard deck of 52 playing cards. The first card is NOT replaced before the second card is selected. Find the probability of selecting a heart and then selecting a diamond. (Round to 4 decimal places)

What This Problem Teaches

  • Conditional probability: How the outcome of one event affects the probability of subsequent events
  • The multiplication rule: When to multiply probabilities versus add them for compound events
  • Without replacement mechanics: Understanding how removing items changes the sample space
  • Sequential event analysis: Breaking complex probability scenarios into manageable steps
  • Fraction-to-decimal conversion: Expressing probability results in multiple useful formats

Let's Visualize This

Before diving into calculations, let's see what happens when we draw cards without replacement:

Two cards are selected from a standard deck of 52 playing cards. The first card is NOT replaced before the second...

Notice how drawing the heart first reduces our total deck size from 52 to 51 cards, but doesn't affect the number of diamonds available.

Solution: Method 1 — The Sequential Probability Approach

For sequential events connected by "and," we multiply the individual probabilities. The key insight is that the second probability becomes conditional on the first event occurring.

Step 1 — Find the probability of drawing a heart first

In a standard deck, there are 13 hearts out of 52 total cards.

P(first card is a heart) = 13/52 = 1/4

Step 2 — Find the probability of drawing a diamond second

After removing one heart, we have 51 cards remaining. Importantly, all 13 diamonds are still in the deck since we drew a heart, not a diamond.

P(second card is a diamond | first was a heart) = 13/51

Step 3 — Apply the multiplication rule

For both events to occur in sequence, we multiply their probabilities:

P(heart then diamond) = P(heart) × P(diamond | heart drawn)
P(heart then diamond) = (13/52) × (13/51)
P(heart then diamond) = (1/4) × (13/51) = 13/204

Step 4 — Convert to decimal and round

Converting the fraction to decimal form:

13/204 = 0.063725...
Rounded to 4 decimal places: 0.0637

Solution: Method 2 — The Counting Approach

Instead of thinking about conditional probability, we can count favorable outcomes directly.

Step 1 — Count total possible ordered outcomes

For the first card, we have 52 choices. For the second card (without replacement), we have 51 choices.

Total possible outcomes = 52 × 51 = 2,652

Step 2 — Count favorable outcomes

For a heart first: 13 choices. For a diamond second (after drawing a heart): 13 choices.

Favorable outcomes = 13 × 13 = 169

Step 3 — Calculate the probability

P(heart then diamond) = Favorable outcomes / Total outcomes
P(heart then diamond) = 169/2,652 = 13/204 = 0.0637

Notice this gives us exactly the same answer as Method 1, confirming our result.

The probability of selecting a heart and then a diamond (without replacement) is 13/204 or 0.0637.

Verification

Let's verify our answer makes sense by checking it multiple ways:

Fraction check

Our fraction 13/204 is already in lowest terms since gcd(13, 204) = 1.

13/204 ÷ 13/13 = 13/204 (already simplified)

Decimal verification

Let's verify our decimal conversion:

13 ÷ 204 = 0.06372549...
Rounded to 4 decimal places: 0.0637 ✓

Range check

The probability should be less than either individual probability:

P(heart) = 13/52 = 0.25
P(diamond) = 13/51 ≈ 0.255
Our answer: 0.0637 < 0.25 ✓

This makes sense because requiring both events to happen in sequence should be less likely than either event alone.

Watch Out For These Pitfalls

✗ Mistake 1: Using 52 cards for both draws
P = (13/52) × (13/52) = 0.0625
Why it's wrong: This treats the problem as "with replacement." After drawing the first card, only 51 cards remain.
✗ Mistake 2: Adding instead of multiplying
P = 13/52 + 13/51 = 0.505
Why it's wrong: Addition is for "or" scenarios (heart OR diamond). For sequential "and" events, you multiply.
✗ Mistake 3: Forgetting the heart affects diamond count
P = (13/52) × (12/51)
Why it's wrong: Drawing a heart doesn't reduce the number of diamonds. All 13 diamonds remain in the 51-card deck.
✗ Mistake 4: Rounding too early
P = 0.25 × 0.25 = 0.0625
Why it's wrong: Rounding 13/51 to 0.25 introduces error. Always work with exact fractions until the final step.

The General Formula

This problem illustrates the multiplication rule for conditional probability. For any two sequential events A and B without replacement:

P(A then B) = P(A) × P(B | A occurred)

More specifically, for drawing different suits from a deck:

P(Suit₁ then Suit₂) = (n₁/52) × (n₂/51)

Where n₁ and n₂ are the number of cards of each suit (13 for standard suits).

Important limitation: This formula assumes the two suits are different. If you wanted the probability of drawing two hearts, you'd use (13/52) × (12/51) since drawing the first heart reduces the remaining hearts to 12.

How to Spot This Problem Type

You're dealing with a "without replacement" probability problem when you see these key phrases:

  • "not replaced" or "without replacement" — the dead giveaway
  • "then" or "and then" — signals sequential events requiring multiplication
  • Two or more draws from a finite collection (deck, bag, jar)
  • Order matters — "heart then diamond" is different from "diamond then heart"
Contrast with replacement: If you see "the card is returned to the deck" or "with replacement," then the denominators stay constant (52, 52 instead of 52, 51).

Example variations you might see:

  • Drawing colored balls from a bag
  • Selecting students from a class
  • Choosing committee members
  • Quality control sampling in manufacturing

Real Applications

  • Medical testing: Drawing blood samples from different patients for testing — once a sample is drawn, that patient isn't available for immediate re-sampling.
  • Quality control: Testing manufactured items where tested items are removed from the batch, affecting the probability calculations for subsequent tests.
  • Survey research: Selecting participants for follow-up interviews where each selected person is no longer available for future selection rounds.

What If?

1
Reversed Order
Two cards are selected without replacement from a standard deck. Find the probability of selecting a diamond first and then a heart. How does this compare to the original problem?
Step 1 — Probability of diamond first

There are 13 diamonds out of 52 cards: P(diamond) = 13/52 = 1/4

Step 2 — Probability of heart second

After drawing a diamond, 51 cards remain, with all 13 hearts still available: P(heart | diamond drawn) = 13/51

Step 3 — Apply multiplication rule

P(diamond then heart) = (13/52) × (13/51) = 13/204 = 0.0637

Step 4 — Compare to original

Same result! This makes sense because we're still drawing one heart and one diamond, just in different order. The multiplication is commutative when the suits are different.

2
With Replacement
Two cards are selected from a standard deck, but the first card IS replaced before the second is selected. Find the probability of selecting a heart and then a diamond.
Step 1 — Probability of heart first

P(heart) = 13/52 = 1/4

Step 2 — Probability of diamond second

Since the heart is replaced, we still have 52 cards with 13 diamonds: P(diamond) = 13/52 = 1/4

Step 3 — Calculate final probability

P(heart then diamond) = (1/4) × (1/4) = 1/16 = 0.0625

Verification

With replacement gives 0.0625 vs. without replacement gives 0.0637. The without replacement probability is slightly higher because after removing a heart, the remaining deck has a higher proportion of diamonds.

3
Same Suit Challenge
Two cards are selected without replacement. Find the probability of selecting a heart and then another heart. Round to 4 decimal places.
Step 1 — Probability of first heart

P(first heart) = 13/52 = 1/4

Step 2 — Probability of second heart

After drawing one heart, only 12 hearts remain out of 51 cards: P(second heart | first heart) = 12/51 = 4/17

Step 3 — Calculate final probability

P(heart then heart) = (13/52) × (12/51) = (1/4) × (4/17) = 4/68 = 1/17

Step 4 — Convert to decimal

1/17 = 0.058824... ≈ 0.0588

Verification

This is lower than our original answer (0.0588 < 0.0637) because drawing the same suit twice is harder—the second draw has fewer favorable outcomes.

4
Three-Card Sequence
Three cards are selected without replacement. Find the probability of selecting a heart, then a diamond, then a club (in that exact order). Round to 4 decimal places.
Step 1 — First card probability

P(heart) = 13/52 = 1/4

Step 2 — Second card probability

After drawing a heart, 51 cards remain with all 13 diamonds: P(diamond | heart) = 13/51

Step 3 — Third card probability

After drawing a heart and diamond, 50 cards remain with all 13 clubs: P(club | heart, diamond) = 13/50

Step 4 — Apply multiplication rule

P = (13/52) × (13/51) × (13/50) = (1/4) × (13/51) × (13/50) = 2197/132600

Step 5 — Convert to decimal

2197/132600 = 0.016567... ≈ 0.0166

Verification

Each additional card requirement makes the probability smaller: two cards gave 0.0637, three cards gives 0.0166.

Frequently Asked Questions

What does "without replacement" mean in probability problems? +
Without replacement means that after drawing the first item, it is not returned to the collection before drawing the second item. This changes the total number of items available for subsequent draws. In this problem, after drawing a heart (first card), there are only 51 cards left in the deck instead of the original 52.
How do you calculate probability for sequential events without replacement? +
Multiply the probability of the first event by the conditional probability of the second event (given the first occurred). Here: P(heart) = 13/52, then P(diamond | heart drawn) = 13/51, so P(heart then diamond) = (13/52) × (13/51) = 0.0637.
Why don't you add probabilities for "and" in sequential events? +
For sequential events connected by "and," you multiply probabilities, not add them. Addition is used for "or" situations (either event A or event B). Multiplication captures the idea that both events must happen in sequence - the probability gets smaller as you require more specific outcomes.
NJ
Neven Jurkovic, PhD

Professor of Computer Science, Palo Alto College, Alamo Colleges District, San Antonio, TX

Developer of Algebrator

Contact

This solution was prepared with AI assistance and reviewed by Dr. Jurkovic for mathematical accuracy and pedagogical clarity.

2026-11-08