Series and Probability

Work with arithmetic and geometric series, and calculate probabilities using counting principles.

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Series and Probability

Arithmetic Series

Sn=n2(a1+an)=n2[2a1+(n1)d]S_n = \frac{n}{2}(a_1 + a_n) = \frac{n}{2}[2a_1 + (n-1)d]

Example: Sum of first 50 positive integers: S50=502(1+50)=2551=1275S_{50} = \frac{50}{2}(1 + 50) = 25 \cdot 51 = 1275

Geometric Series

Finite:

Sn=a11rn1r(r1)S_n = a_1 \cdot \frac{1 - r^n}{1 - r} \quad (r \neq 1)

Infinite (converges when r<1|r| < 1):

S=a11rS = \frac{a_1}{1 - r}

Example: 1+12+14+18+1 + \frac{1}{2} + \frac{1}{4} + \frac{1}{8} + \cdots S=1112=2S = \frac{1}{1 - \frac{1}{2}} = 2

Sigma Notation

k=1nak=a1+a2++an\sum_{k=1}^{n} a_k = a_1 + a_2 + \cdots + a_n

Counting Principles

Fundamental Counting Principle

If there are mm ways to do one thing and nn ways to do another, there are m×nm \times n ways to do both.

Permutations (order matters)

P(n,r)=n!(nr)!P(n, r) = \frac{n!}{(n-r)!}

Combinations (order doesn't matter)

C(n,r)=(nr)=n!r!(nr)!C(n, r) = \binom{n}{r} = \frac{n!}{r!(n-r)!}

Probability

P(E)=number of favorable outcomestotal outcomesP(E) = \frac{\text{number of favorable outcomes}}{\text{total outcomes}}

Addition Rule

P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B)

Multiplication Rule (Independent Events)

P(AB)=P(A)P(B)P(A \cap B) = P(A) \cdot P(B)

Binomial Probability

P(X=k)=(nk)pk(1p)nkP(X = k) = \binom{n}{k} p^k (1-p)^{n-k}

Permutation vs Combination: Does the ORDER matter? If arranging things in a LINE → permutation. If choosing a GROUP → combination.

📚 Practice Problems

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