What is the theoretical probability a fair coin will land on tails?
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Answer:
Step-by-step explanation:
Previous concepts
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Let X the random variable of interest, on this case we now that:
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
Solution to the problem
Let Y the random variable that represent the lenght of time for one individual to be served at the cafeteria. We know from the probalem that
On this case the probability density function would be given by:
And 0 for other case. In order to solve this problem we need to fidn first the probability that a person would be served in less than 2 minutes. And in order to find it we need to find the cumulative distribution function integrating the density function like this:
And with this probability we can find the probability that a person would be served in less than 2 minutes on at least 5 of the next 7 days.
And on this case we can use the binomial distribution, and we want this probability:
We can find the individual probabilities like this:
Subtract the terms from each other, then the
terms, then the ones without any
whatsoever.
First, we'll subtract from
Result:
Next, we'll subtract from
Result:
Finally, we'll subtract from
Result:
Now, we can add these 3 results together.
First, we had , then
, and finally
.
Thus, our subtraction of
equals