The Anatomy of Expectation
Welcome, fellow explorer of probability! Today, we are going to dissect a problem that might look like a tedious table of numbers, but is actually a beautiful exercise in algebraic elegance.
We are given a probability distribution for a random variable X, where the values of X are scaled by an unknown constant k. Our mission is to find P(X<20), but to get there, we must first uncover the identity of k using the given expected value E(X)=15263.
Phase 1
The Weighted Average
What is the expected value? Think of it as the 'center of mass' of your probability distribution. It is the weighted average of all possible values of X, where each value is weighted by its probability.
Mathematically, we define it as:
Imagine you are standing on a balance beam. The values of X are positions on the beam, and the probabilities P(X) are the masses placed at those positions. The expected value is the point where the beam would perfectly balance.
Our table gives us eight such points. To find E(X), we must multiply each Xi by its corresponding P(Xi) and sum them all up. It sounds like a mountain of arithmetic, but let's see how we can climb it efficiently.
Phase 2
The Algebraic Dance
Let's write out the sum: E(X)=(4k⋅152)+(730k⋅151)+(732k⋅152)+(734k⋅51)+… and so on.
Stop! Do you see the pattern? Every term has a k in the numerator and a 15 in the denominator. Even the terms with 51 can be written as 153.
This is our golden opportunity. Let's factor out 15k from the entire expression:
E(X)=15k[8+730+764+7102+736+776+7120+6]
By grouping the terms with a denominator of 7 and adding the integers 8 and 6 separately, the expression simplifies beautifully. The sum of the numerators over 7 is 7428, and adding the integers 14 gives us 798+428=7526.
Thus, our expected value is:
Phase 3
The Reveal of k
Now, we equate this to the given value:
Look at the numbers. They aren't random; they are designed to cancel. Notice that 526=263×2 and 105=15×7.
When we solve for k, we get:
k=15263⋅526105=21⋅7=27
We have found our key!
Phase 4
The Final Condition
With k=27, we can now find the actual values of X. Substituting k back into the table, we get the sequence: 14,15,16,17,18,19,20,21.
Our objective is P(X<20). Looking at our sequence, the values that satisfy this are 14,15,16,17,18, and 19.
We simply sum the probabilities corresponding to these values:
P(X<20)=P(14)+P(15)+P(16)+P(17)+P(18)+P(19)
P(X<20)=152+151+152+153+151+152=1511
And there it is! The probability is 1511. A journey through algebra that ends in a clean, satisfying result. Keep practicing, and remember: the complexity is just a mask for the underlying simplicity.