AP Statistics – Unit 4 Lesson 2: Basic Probability Rules

Topic 4.2 — Complement Rule & Addition Rule


1. Warm-Up Questions

1. If the chance of rain today is 30%, what is the chance it will not rain? Explain your thinking.

2. A bag contains red, yellow, and green candies. If the chance of drawing a red candy is 0.4, what does that mean in real life?

These questions preview complement thinking and the interpretation of probabilities in context.


2. Core Vocabulary & Concepts 

Event

An event is something that can happen in a random process.
Example: “Rolling a 4 on a die” is an event.

Probability of an event P(A)

A number from 0 to 1 describing how likely A is to occur.

Complement of an event (not A)

All outcomes where event A does not happen.


3. The Complement Rule (UNC-2.B.1)

Rule:

Why this works:

All possible outcomes add up to 1 (or 100%).
So whatever is not part of event A must make up the rest.

Example:

Probability it snows tomorrow:

Then the probability it does not snow:

Real-world meaning:

There’s a 75% chance the weather will be something other than snow.


4. Mutually Exclusive Events + The Addition Rule (UNC-2.B.2)

 

Mutually Exclusive Events

Two events that cannot happen at the same time.

Examples:

  • Rolling a die: “rolling a 2” and “rolling a 5”

  • Drawing a card: “ace of hearts” and “ace of clubs”

  • Choosing a school lunch: “pizza” or “chicken rice” (you pick only one)

Addition Rule for Mutually Exclusive Events:

Example:

A die is rolled.

  • P(rolling a 1) = 1/6

  • P(rolling a 6) = 1/6

They can’t happen together → mutually exclusive.

🎲 Example: Rolling a die

These cannot happen together, so they are mutually exclusive.



5. Visual Tools: Tables & Venn Diagrams (Skill 3.A).

Example: Candy Bag Table

Color Probability
Red 0.4
Yellow 0.3
Green 0.3

  • P(not red) = 1 – 0.4 = 0.6

  • P(red or yellow) = 0.4 + 0.3 = 0.7 (mutually exclusive)

Venn Example (Non-overlapping Sets)

If A = “students in drama club” and B = “students in chess club” and the school rules say a student cannot join both, then A and B do not overlap → mutually exclusive.


6. Main Activity – “Weather Center: Build the Forecast”

Scenario:

You are the statistician for a city weather center. You will calculate probabilities for events based on a weather model.

Weather Type Probability
Sunny 0.55
Rainy 0.30
Snowy 0.10
Storm 0.05

Activity Tasks:

  1. Calculate:
    a. P(not sunny)
    b. P(rainy or storm)
    c. P(not snow)
    d. P(sunny or snowy)
    e. Are “Rainy” and “Storm” mutually exclusive? Explain.

  2. Interpret each result in context, e.g.:
    “P(not sunny) = ___ means there is a ___ chance the weather will be anything except sunny.”

  3. Create your own two new weather events:
    Example:

  • Event A = “precipitation” (rain, snow, storm)

  • Event B = “calm weather” (sunny)

Then calculate P(A) and P(B) showing the addition rule.


7. Real-World Discussion (Skill 4.B)

Connect probability rules to real examples:

  • “If a doctor says your chance of side effects is 8%, what is the chance of no side effects?”

  • “If two sports outcomes cannot happen together (win vs. lose), how do we find P(win or lose)?”

  • “Why do weather forecasts always add up to 100%?”

Briefly explain in writing.


8. Discussion Question

Is it possible for two events to both happen at the same time and still be mutually exclusive? Explain why or why not.


Homework Exercise Set

📝 Exercise 1 – Complement Rule Practice

Use the complement rule:

  1. A website has a 0.82 probability of loading successfully.
    Find P(failure).

  2. A basketball player makes free throws with probability 0.64.
    Find the probability the player misses.

  3. A certain type of light bulb has a 12% chance of burning out in the first month.
    Find the probability the bulb does not burn out.


📝 Exercise 2 – Addition Rule for Mutually Exclusive Events

Use:

  1. A drawer contains:

    • 30% pens

    • 25% pencils

    • 45% markers
      If you only take one item, what is P(pen or pencil)?

  2. At a restaurant, 20% order sushi, 15% order ramen, and 65% order rice bowls.
    Find P(sushi or ramen).

  3. A random Spotify playlist has:

    • 40% pop

    • 10% country

    • 50% rap
      What is the probability the next song is pop or rap?


📝 Exercise 3 – Reading a Probability Table

A survey asked students about their favorite pet.

Pet Type Probability
Dogs 0.5
Cats 0.2
Birds 0.1
Fish 0.2

Answer the following:

  1. Find P(not dog).

  2. Find P(cat or fish).

  3. Which two categories add to a probability of 0.3?


📝 Exercise 4 – Short Scenario

A train company reports the following morning conditions:

Condition Probability
On time 0.72
Delayed 0.20
Cancelled 0.08

  1. Find P(not cancelled).

  2. Find P(on time or delayed).

  3. Interpret your answer from #11 in a full sentence.


📝 Exercise 5 – Create Your Own Mutually Exclusive Events

  1. Create two events from your own life that are mutually exclusive. Examples might include:

  • What you choose for lunch

  • Which bus you take

  • What you do after school

Then:
a. Write each event clearly.
b. Explain why they are mutually exclusive.
c. Give a hypothetical probability for each.
d. Use the addition rule to find P(A or B).


📝 Exercise 6 – Weather Venn Diagram 

A weather model predicts:

  • P(Thunderstorm) = 0.25

  • P(Snow) = 0.10

  • The model says these cannot happen at the same time.

  1. Are these events mutually exclusive? Explain.

  2. Find P(thunderstorm or snow).

  3. Find P(not thunderstorm).

Last modified: Tuesday, 2 December 2025, 9:41 PM