The video explores the Birthday Paradox, a probability theory that reveals the surprising odds of two people sharing a birthday in a group. It explains the math behind the paradox, showing that only 23 people are needed for a 50% chance of a shared birthday. The video also discusses real-world factors affecting these odds and highlights applications in data privacy and computer security, such as preventing data collisions in hash functions.

What is the minimum number of people needed in a room for there to be a greater than 50% chance that two people share a birthday?

• 365

• 367

• 23

• 50

Why does the Birthday Paradox seem counterintuitive?

• Because it only applies to leap years

• Because it requires a large number of people

• Because it suggests a high probability with a small group

• Because it involves complex mathematical equations

What is the probability of a birthday match with 70 people in a room?

• 90%

• 75%

• 50%

• 99.9%

Which factor is NOT considered in the basic Birthday Paradox calculations?

• The time of day people are born

• Uneven distribution of birthdays

• Leap year birthdays

• The number of people in the room

Which month has the most births in the US?

• January

• August

• September

• December

How can the Birthday Paradox help in medical studies?

• By calculating the risk of double counting

• By predicting patient outcomes

• By determining the best treatment plans

• By identifying patient identities

What is a collision in the context of hash functions?

• When a data point is lost

• When two data points have the same hash value

• When a hash function is not used

• When data is encrypted