How Many Degrees of Freedom Are There When Flipping Two Coins?

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SUMMARY

When flipping two coins and considering the outcomes without distinguishing between the individual coins, there is one degree of freedom. This conclusion is based on the Chi-square goodness of fit test, which is used to evaluate whether the probabilities of heads and tails are equal, specifically P(H) = P(T) = 0.25 for two coins. The calculation for degrees of freedom is derived from the formula: Number of Characteristics - 1, where the two characteristics are heads and tails.

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  • Basic knowledge of statistical degrees of freedom
  • Concept of characteristics in statistical tests
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Savant13
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If I flip two coins at once and don't care which one is heads in the case of a head and a tail, how many degrees of freedom are there?
 
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What is the statistic you are considering?
 
Yes, it really depends on the statistical test you are interested in using. If you wish to test whether the probability of getting a head or a tail is equal (i.e., P(H)=P(T)=0.25 for two coins), then you may want to use the Chi-square goodness of fit test.

The degree of freedom for this test, then, is Number of Characteristics - 1 = 2 - 1 = 1. Notice there are two characteristics here - tail and head.

Feel free to correct me if you think otherwise.
 

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