Number of possible outcomes where Head is recorded for a coin toss

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Discussion Overview

The discussion revolves around calculating the probability of obtaining exactly 2 heads when a coin is tossed 4 times. Participants explore different methods for determining this probability, including decision trees and the binomial probability formula.

Discussion Character

  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant suggests using a decision tree to determine the probability, arriving at a result of 6/16, but expresses concern about the complexity for larger sample sizes.
  • Another participant applies the binomial probability formula to confirm the probability as 6/16, simplifying it to 3/8.
  • A different participant notes that writing out all possible outcomes is helpful but impractical for larger samples, reiterating the 6/16 probability.
  • One participant explains that the probability of a specific outcome (like HHTT) is 1/16, but there are 6 different arrangements that yield 2 heads, leading to the same probability of 6/16 or 3/8.

Areas of Agreement / Disagreement

Participants generally agree on the probability being 6/16 or 3/8, but there is no explicit consensus on the preferred method for calculating it, as different approaches are discussed.

Contextual Notes

Some participants express limitations regarding the practicality of certain methods for larger sample sizes, indicating that while the calculations are correct, the approaches may not scale well.

Who May Find This Useful

Individuals interested in probability theory, combinatorics, or those seeking methods for calculating probabilities in discrete sample spaces may find this discussion relevant.

tmt1
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A coin is tossed 4 times.

Is there a way to determine mathematically what is the probability that exactly 2 heads occur?

By drawing a decision tree I can determine that it is 6/16, but this seems like an arduous process for larger numbers.
 
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Using the binomial probability formula, we find:

$$P(X)={4 \choose 2}\left(\frac{1}{2}\right)^2\cdot\left(\frac{1}{2}\right)^{4-2}=\frac{6}{16}=\frac{3}{8}$$
 
Writing 'em out helps but I wouldn't want to attempt that on a "large" sample space.

There are 16 possible outcomes and 6 possibilities where there are exactly two heads. 6/16 = 3/8.
 
Or: one possible outcome for 'two heads in four tosses" is HHTT. The probability the coin comes up heads or tails on each toss is 1/2 so the probability of that is (1/2)^4= 1/16.

But there are \frac{4!}{2!2!}= \frac{4(3)(2)(1)}{(2(1))(2(1))}= \frac{4(3)}{2}= 6 different possible orders (they are "HHTT", "HTHT", "HTTH", "THTH", "THHT", and "TTHH" but you don't have to write them out to know there are 6) so that the probability of "two heads in four coin tosses" is \frac{6}{16}= \frac{3}{8}
 

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