What is the Probability of Getting Three Heads in 30 Coin Tosses?

In summary, the conversation discusses conducting 30 trials and calculating the empirical probability of outcomes. The focus is on finding the probability of tossing 1 coin three times and getting three heads, with the use of a flowchart to show all possible outcomes. The conversation also touches on the fundamental counting principle and the probability of getting a certain number of heads for a given number of tosses.
  • #1
ThunderWolf2016
3
0
Conduct 30 trials and calculate emperical probability of the outcomes. What is the probability of tossing 1 coin three times and getting three heads? Need a flowchart of some sort to show all possible outcomes. This math is new to me and has little understanding of this math lol so any help aanyone can give me will be really appreciative.
 
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  • #2
Out of all the possible outcomes from tossing a coin $n$ times, how many of those will be $n$ heads?

For each individual coin toss, how many outcomes are possible? How many of those are heads? Using the fundamental counting principle, how many outcomes will there be for $n$ coin tosses?
 
  • #3
As a follow-up, I will answer my own questions...

MarkFL said:
Out of all the possible outcomes from tossing a coin $n$ times, how many of those will be $n$ heads?

There is only one outcome in which all tosses will be heads, since there is only 1 way to choose $n$ from $n$:

\(\displaystyle {n \choose n}=\frac{n!}{n!((n-n)!}=1\)

MarkFL said:
For each individual coin toss, how many outcomes are possible?

There are two possible outcomes, either heads or tails, and for a fair coin, both are equally likely.

MarkFL said:
How many of those are heads?

Only 1 outcome is heads, therefore we can compute the probability of getting heads on one toss as follows:

We are certain that we will either get heads (H) or tails (T):

\(\displaystyle P(\text{H})+P(\text{T})=1\)

Since we assume the coin is fair, we know:

\(\displaystyle P(\text{H})=P(\text{T})\)

And so we have:

\(\displaystyle P(\text{H})+P(\text{H})=1\)

\(\displaystyle 2P(\text{H})=1\)

\(\displaystyle P(\text{H})=\frac{1}{2}\)

This corresponds with the fact that out of the two possible outcome, only one is favorable:

\(\displaystyle P(\text{H})=\frac{\text{number of ways to get heads}}{\text{total number of outcomes}}=\frac{1}{2}\)

MarkFL said:
Using the fundamental counting principle, how many outcomes will there be for $n$ coin tosses?

Since for each toss, there are two outcomes, the total number $N$ of outcomes for $n$ tosses is:

\(\displaystyle N=\prod_{k=1}^{n}(2)=2^n\)

And so we may conclude that the probability of getting $n$ heads for $n$ tosses is:

\(\displaystyle P(\text{n heads})=\frac{1}{2^n}\)

So, if $n=3$, the probability of getting all 3 heads is:

\(\displaystyle P(\text{3 heads})=\frac{1}{2^3}=\frac{1}{8}\)
 
  • #4
thank you all for help is well appreiciated :D
 

FAQ: What is the Probability of Getting Three Heads in 30 Coin Tosses?

What is a probability experiment?

A probability experiment is a scientific procedure that is used to determine the likelihood of an event occurring. It involves collecting data, conducting calculations, and analyzing the results to determine the probability of a certain outcome.

What are the key components of a probability experiment?

The key components of a probability experiment include a sample space, an event of interest, and a set of outcomes. The sample space is the set of all possible outcomes, the event of interest is the specific outcome that is being studied, and the set of outcomes is the collection of all possible results of the experiment.

What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability, on the other hand, is based on the results of an actual experiment and may differ from theoretical probability due to chance or other factors.

How is probability expressed?

Probability is typically expressed as a decimal, fraction, or percentage. It represents the likelihood of an event occurring, with a value between 0 (impossible) and 1 (certain).

How is probability used in real-world applications?

Probability is used in a variety of real-world applications, such as weather forecasting, financial analysis, and risk assessment. It helps to predict the likelihood of certain events and make informed decisions based on the data collected.

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