TED-Ed: Check your intuition: The birthday problem - David Knuffke

TED-Ed: Check your intuition: The birthday problem - David Knuffke

Assessment

Interactive Video

Mathematics

KG - University

Hard

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The video explores the birthday problem, which shows that in a group of 23 people, there's a 50.73% chance that two people share the same birthday. This counterintuitive result is explained using combinatorics, focusing on calculating the probability of no shared birthdays and then subtracting from 100%. The video highlights the rapid growth of possible pairs as group size increases, making shared birthdays more likely. It concludes with real-world examples, illustrating how math can reveal unexpected probabilities.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability that two people in a group of 23 share the same birthday?

50.73%

99.9%

23%

75%

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which mathematical field is used to solve the birthday paradox?

Algebra

Calculus

Geometry

Combinatorics

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate the probability of no shared birthdays in a group?

By multiplying the probabilities of different birthdays

By dividing the probability of shared birthdays by the number of people

By subtracting the probability of shared birthdays from 100%

By adding the probabilities of shared birthdays

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many possible pairs are there in a group of 23 people?

115

253

365

46

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the number of possible pairs as the group size increases?

It decreases linearly

It remains constant

It grows quadratically

It decreases exponentially

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a group of 70 people, what is the probability that two people share a birthday?

75%

50%

23%

99.9%

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the birthday paradox illustrate about coincidences?

They are impossible to predict

They are often less coincidental than they seem

They are always unlikely

They are always purely random