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'''Topic and Concept:'''
  Measurement, [:Measurement#ErrorAccuracy: 1A20. Error and Accuracy]
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'''Description:''' '''Abstract:'''
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||A coin|| || || ||A Coin|| || ||
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 * N/A
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 N/A

'''Setup:'''

 N/A
'''Setup and Procedure:'''
1. Flip a coin several times and keep track of the number of heads & tails.
1. Compare the distribution to the predicted outcome of half heads and half tails.
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 * N/A
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 N/A '''Discussion:'''
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'''Demonstration:''' The probability of an event occurring is # of desired outcomes that can occur divided by the total # of outcomes possible. Thus, for a coin which has only two faces, heads or tails, the probability of the coin landing on either side is 50%. For a low number of coin tosses, the actual distribution may differ much or little from what is expected depending on random chance. For a high number of tosses, however, the distribution will be what is expected.
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Flipping a coin
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'''Videos:'''
 * [https://www.youtube.com/user/LectureDemostrations/videos?view=1 Lecture Demonstration's Youtube Channel]
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N/A
 * N/A

[:PiraScheme#Mechanics: Table of Mechanics Demonstration]

[:MEEquipmentList: List of Mechanics Equipment & Supplies]

[:Demonstrations:Lecture Demonstrations]

Coin Flip, 1A20.20

Topic and Concept:

  • Measurement, [:Measurement#ErrorAccuracy: 1A20. Error and Accuracy]

Location: Use your own coin.

attachment:CoinFlip-01-400.jpg

Abstract:

Flip a coin to show 50/50 probability.

Equipment

Location

ID Number

A Coin

Important Setup Notes:

  • N/A

Setup and Procedure: 1. Flip a coin several times and keep track of the number of heads & tails. 1. Compare the distribution to the predicted outcome of half heads and half tails.

Cautions, Warnings, or Safety Concerns:

  • N/A

Discussion:

The probability of an event occurring is # of desired outcomes that can occur divided by the total # of outcomes possible. Thus, for a coin which has only two faces, heads or tails, the probability of the coin landing on either side is 50%. For a low number of coin tosses, the actual distribution may differ much or little from what is expected depending on random chance. For a high number of tosses, however, the distribution will be what is expected.

attachment:CoinFlip-02-250.jpg

attachment:CoinFlip-03-250.jpg

Videos:

References:

  • N/A

[:Instructional:Home]

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