STEM Excellence Series: Empowering the Next Generation

INDEPENDENT EVENTS

Independent Events

Definition Of Independent Events

Independent events are events where the outcome of one event does not affect the outcome of the other events.

Video Examples: Independent Events 2
 

Example of Independent Events

Tossing a coin and rolling a number cube are independent events

Solved Example on Independent Events

Ques: Which of the following are independent events?
1. Spinning a number 6 and then spinning a number 5 on the same spinner. 
2. Picking a marble from a jar, then picking another marble after replacing the first one.
3. Picking a red marble from one jar and picking a red ball from another jar.

Choices:

A. 1 and 2 
B. 2 and 3 
C. 1 and 3
D. 1, 2, and 3 
Correct Answer: D

Solution:

Step 1: In (1), the event of spinning a number does not affect the event of spinning another number with the same spinner. 
Step 2: So, the two events are independent.
Step 3: In (2), since a marble picked is replaced before picking another marble, the number of marbles in the jar is not affected.
Step 4: So, picking a marble and then another marble after replacing the first one are independent events.
Step 5: In (3), picking marbles from two different jars are two independent events, as one does not affect the occurrence of other.
Step 6: So, all three events listed are independent.

Quick Summary

  • Independent events do not influence each other.
  • The probability of two independent events occurring is the product of their individual probabilities.
\[ P(A \cap B) = P(A) * P(B) \]

🍎 Teacher Insights

Use real-world examples like coin tosses and dice rolls to illustrate the concept of independent events. Emphasize the difference between independent and dependent events.

🎓 Prerequisites

  • Basic Probability
  • Sample Space
  • Events

Check Your Knowledge

Q1: Which of the following is an example of independent events?

Frequently Asked Questions

Q: How can I determine if two events are independent?
A: Check if P(A and B) = P(A) * P(B). If this holds true, then A and B are independent.

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