Which Statement Best Explains How the Baby Boom Affects Social Security? Quizlet

The Birthday Trouble🎈

Today's trouble goes out to a special new fellow member of the family. Welcome to the world my niece, Edison Grace Berry! My blood brother's beautiful baby daughter was born on his 36th birthday this by Sat and of course this coincidence fabricated me think of the Birthday Problem .

So hither it is: a special math problem for a special footling daughter. Someday you'll know all the math to understand this post (trust me, I'll make sure of it!).

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The Altogether Problem in Existent Life

The first time I heard this problem, I was sitting in a 300 level Mathematical Statistics course in a small university in the pacific northwest. It was a class of almost xxx students and the professor bet that at to the lowest degree two of u.s.a. shared the same birthday.

He then proceeded to take anybody state their birthday. When it came to my plough I stated my birthdate as "two cubed, iii cubed," which made the class laugh as our cognitive professor took awhile to decipher the engagement.

Anyway like he predicted earlier he got to the last student a pair of matching birthdays had been found.

And then how lucky was it that he found a matching pair?

Warm-Up

Assumption: for the sake of simplicity we'll ignore the possibility of being born on February. 29th.

Let'south begin with a simple case to warm upwards our brains:

What is the probability that two people share the same birthday?

Person A tin can be born on any day of the year since they're the first person we're asking. The probability of being born any day of the year is one or more specifically: 365/365.

Since Person B must be born on the same solar day as Person A their probability is 1/365.

Nosotros want both of these events to happen so multiply the probabilities:

The probability that whatsoever randomly called 2 people share the same birthdate.

Then you take a 0.27% chance of walking up to a stranger and discovering that their altogether is the same solar day as yours. That's pretty slim.

Only what near a larger group?

What's the chance that at to the lowest degree 2 out of 4 people share the same birthday?

Well to solve this problem we'd take to summate all of the following:

  • Probability A and B share the same birthday
  • Probability A and C share the same birthday
  • Probability A and D share the aforementioned altogether
  • Probability B and C share the aforementioned birthday
  • Probability B and D share the same birthday
  • Probability C and D share the same birthday
  • Probability A, B and C share the same birthday
  • Probability B, C and D share the same birthday
  • Probability A, C and D share the aforementioned birthday
  • Probability A, B and D share the same birthday
  • Probability A, B, C and D all share the aforementioned birthday

Yuck, that's a lot of calculations! Imagine how many probabilities nosotros'd have to calculate for a classroom of 30 students!

In that location'due south gotta be a better manner…

A Meliorate Way: the Play tricks of the Complement

The simplest fashion of getting around calculating a bajillion probabilities is to expect at the problem from a different angle:

What'southward the probability that no one shares the same birthday?

This alternate do is helpful because it is the complete opposite of our original problem (i.e. the complement). In probability, we know that the total of all the possible outcomes (i.east. the sample space) is ever equal to 1, or 100% chance.

Since the probability of at least 2 people having the same birthday and the probability of no one having the same birthday cover all possible scenarios, we know that the sum of their probabilities is 1.

Or equivalently:

Using the complement to solve our trouble

Yay! That'll exist much easier to calculate.

The Calculation

Awesome! We're finally gear up to find out how safe a bet the professor fabricated.

Let'southward work out the probability that no ane shares the same altogether out of a room of 30 people.

Let's accept this step by step:

  • The starting time student can be built-in on any day, so nosotros'll give him a probability of 365/365.
  • The next student is now express to 364 possible days, so the second pupil'due south probability is 364/365.
  • The 3rd student may be born on any of the remaining 363 days, so 363/365.

This design continues so that our last pupil has a probability of 336/365 (365 – 29 days since the students before her used up 29 potential days).

Again multiply all 30 probabilities together:

probabilities 361/365 to 338/365 not shown

Concur up! That'south a little messy. Allow'south make clean this up.

Since the denominator is thirty 365's multiplied together, nosotros could rewrite information technology as:

Let's use factorials (symbolically: !) to farther clean this calculation upwards.

(Remember factorials are handy for multiplying together descending positive integers. For case five! equals five•4•3•2•1 = 120.)

Using factorials, 365! would equal the product of all descending integers from 365 down to 1. We only want the product of the integers from 365 to 336, so we'll divide out the extraneous numbers by dividing 365! past 335!.

Note: if this confuses yous try a smaller value similar 5!/three! = 5•4•3•two•ane / iii•2•i. Discover how the 3•2•1 are in both the numerator and denominator. They 'cancel out' making 5!/3! = v•4.

Putting it all together we at present have an expression that tin exist easily entered on a scientific calculator:

the simplified form of the 30 probabilities product from above

This computes to 0.294 or 29.iv% chance no one in the course has the same birthday. Of course, nosotros want the complement and then we'll subtract information technology from ane to observe the probability that at least 2 people in a group of 30 share the same day of birth.

The probability at least two people in xxx share the same birthday

Turns out it was a pretty prophylactic bet for our professor! He had a nearly 71% take a chance that 2 or more of united states would share a birthday.

A Fifty-Fifty Chance

Many people are surprised to detect that if you repeat this adding with a group of 23 people you'll however have a fifty% chance that at least 2 people were born on the same day.

That'southward a relatively modest group of people because that at that place are 365 possible birthdays! Meaning that in whatever grouping of more than 23 people it is likely that at least 2 people share the same day of nativity.

What a crazy little factoid!

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Source: https://medium.com/i-math/the-birthday-problem-307f31a9ac6f

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