Probability and Winning Coin Tosses

The video discusses the Super Bowl coin toss streak, where the NFC team won 14 consecutive tosses. It explains the probability of such streaks and calculates the average number of games needed to achieve a streak of 3 and 14 wins. The video introduces a formula to generalize the calculation for any number of consecutive wins, highlighting the improbability of such events despite their occurrence.

What event broke the NFC's 14-year streak of winning the coin toss?

• The NFC team won the game

• The Super Bowl was canceled

• The AFC team won the coin toss

• The NFC team lost the coin toss

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CCSS.7.SP.C.7A

What is the probability of winning a single coin toss?

• 1/4

• 1/8

• 1/16

• 1/2

How do you calculate the probability of winning 3 coin tosses in a row?

• Multiply 1/2 by 3

• Add 1/2 three times

• Divide 1/2 by 3

• Multiply 1/2 by itself three times

What is the probability of getting a sequence of 4 coin tosses that ends with three wins?

• 1/64

• 1/32

• 1/16

• 1/8

What is the average number of games needed to get 3 wins in a row?

• 8

• 10

• 12

• 14

What formula is used to calculate the average waiting time for n wins in a row?

• T = n + 2^n

• T = n^2 + 1

• T = 2^(n+1) - 2

• T = 2^n - 1

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CCSS.HSS.MD.B.6

CCSS.HSS.MD.B.7

How many games, on average, are needed to achieve 14 wins in a row?

• 32,766

• 16,383

• 128,000

• 64,000

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CCSS.7.SP.C.6

What does the calculated number of games represent in the context of the Super Bowl?

• The number of teams in the Super Bowl

• The total number of Super Bowls played

• The average number of games to win 14 times in a row

• The probability of winning 14 times

What is the significance of the number 32,766 in the context of the Super Bowl?

• It is the average number of games to achieve 14 wins in a row

• It is the number of teams in the NFL

• It is the number of games played in a year

• It is the number of points scored in a season

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CCSS.RI. 9-10.2

CCSS.RI.11-12.2

CCSS.RI.8.2

CCSS.RL.11-12.2

CCSS.RL.9-10.2

What does the speaker conclude about unlikely events?

• They are impossible

• They happen frequently

• They can happen but are rare

• They are predictable

Tags

CCSS.RI. 9-10.2

CCSS.RI.11-12.2

CCSS.RL.11-12.2

CCSS.RL.8.2

CCSS.RL.9-10.2