Statistical variation of a flipped coin

In summary, the conversation is about a statistics question regarding the probability of getting "heads" when flipping a coin N times and the standard deviation. The question also relates to a news report about polling and the meaning of a "statistical dead heat." The question asks for clarification and help in understanding the concept.
  • #1
SciSteve
19
0
I found a statistics question and am wondering how its figured out, the way its worded is hard to understand what everything means. anyhow..

If a coin is flipped N times, one expects to get "heads" roughly half the time. More precisely, Number of heads=N/2+Δn where Δn is the statistical variation. Typically, one expects Δn/N≈1/2√N
thats 2 multiplied by square root of N in denominator, and the question proceeds...
You sometimes see a news report of a pole asking who would be the best president. The report typically says that if two candidates' numbers differ by less than 3%, then it is a "statistical dead heat." If this means the difference is less than would be expected from the statistical variation, how many people were asked the question?

Any help with some explanation would be greatly appreciated thanks in advance.
 
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  • #2
What level and course are you doing Steve?

One part of the question is pretty loosley worded and makes me think it might be aimed at someone who has only basic knowlegde of statistics.

The statement "Typically, one expects Δn/N≈1/2√N" is not quite correct as the variation can be either positive or negative and the expected value is exactly zero ("expected value" has a definite menaing in statistics). It's actually the standard deviation (stdev) that is equal to sqrt(N)/2 and therefore stdev/N = 1/(2 sqrt(N)).

Anyway that aside, the question is basically just asking you this. For what value of N is sqrt(N)/2 equal to 3% of N. Hopefully you can make an equation out of that and solve for N.
 
  • #3
its actually for an intro level physics course, and I've never took statistics so this stuff kinda confuses me.
 

Related to Statistical variation of a flipped coin

1. What is statistical variation?

Statistical variation refers to the differences or fluctuations that can occur in a set of data. It is a measure of how spread out the data points are from the average or mean value.

2. How does flipping a coin relate to statistical variation?

Flipping a coin is a commonly used example to explain statistical variation. It represents a binary outcome (heads or tails) and allows us to observe the variability in outcomes over multiple trials.

3. What is the expected outcome when flipping a coin?

The expected outcome when flipping a fair coin is that it will land on either heads or tails with equal probability. This means that over a large number of trials, we would expect to see roughly an equal number of heads and tails.

4. Does the number of flips affect the statistical variation of a coin?

Yes, the number of flips can affect the statistical variation of a coin. With a larger number of flips, we can get a more accurate estimate of the probability of an outcome occurring. As the number of flips increases, the variation in outcomes tends to decrease.

5. Can statistical variation be used to predict future outcomes of a coin flip?

No, statistical variation cannot be used to predict the outcome of a single coin flip. Each flip is an independent event and the previous outcomes do not affect future ones. However, over a large number of trials, the variation can help us understand the probability of certain outcomes occurring.

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