Binomial Distribution

Table of Contents

1. Binomial Probability Distribution

1.1. characteristics

Binomial -> 2 outocmes {Success or Fail}

n trials

independent trials

Same Probabilty of success throughotu the trial

1.2. A common practice/guidline

/Sampling without replacement from a large population:

(trials can be considered independent as long as the sample size is less than 10% of the population size.)/

n < 10% of N

[1 million 90% soccer]

take one from this and the probability of the first is 900,000/1,000,000 1st person

take another from this and the probability is 899,999/1,000,000 ~ .8999 ~ .9 2nd person

1.3. Example 1

Two electronic components are selected from the production line of 100 such components for thorough inspection. It is known that 90% of the components are “good”. Find the probability that the two inspected components are “good”.

2 outcomes (good or bad)

n = 2

2/100 = 2%<10% -> independant

p = .9%

Binomial [x]

Probability of both being good

P(both good)

A = 1st good B = 2nd good

P(AnB) = P(A)*P(B|A)

(.9)(.9) = .81

technically it is (.9)(.89) = .8091

but because its binomial we can assume independance!

1.4. Example 2

At 25oC, 80% of a certain type of laser diodes have efficiency above 0.3 mW/mA. For five diodes, selected by simple random sampling from a large population of such diodes, find the probability of the following events.

Success = S = efficiency above .3…

Failure = F = efficiency below .3…

n = 5

5 from a large population so lets assume its less than 10%

let X = {# successes}

p = .8 in each trial

Binomial [x]

find probability of..

  1. all five have efficiency above .3 at 25C

    .85 = .32768

    So, P(X = 5) = .328

  2. only the second diode selected has efficiency below .3 at 25C

    –> SFSSS

    Cant have P(x= 4) because F can be anyware

    (.2)*(.84) = .08192

  3. Exactly one of the five diodes has effiency below .3 at 25C

    –> e.g. FSSSS, SFSSS, … , 5 total

    5*(.2)*(.84)

    So, P(x = 4) = .4096

  4. exactly two of the five diodes have effiency below .3 at 25C

    –> e.g. FSFSS, SFFSS, P1P2 = P2P1 (Order does not matter)

    (5*4)/2! = 10 ways

    10*.22*.83 = .2048

1.5. Example 3

Suppose 70% of all purchases in a certain store are made with credit card. Let X denote the number of credit card uses in the next 10 purchases. (Suppose there is a large population of purchases made at this store.)

S = {credit, no credit}

x = (# of credit card uses)

n = 10 purchases

P = .7

Assume independance because large population

Binomial [x]

Find P(5 ≤ X ≤ 8).

p(x=5) + p(x=6) + p(x=7) + p(x=8)

P(x=5)

SSSSSFFFFF -> .75 * .35

(10 choose 5) * .75 * .35

P(x=6)

SSSSSSFFFF -> .76 * .34

(10 choose 6) * .76 * .34

P(x=7)

SSSSSSSFFF -> .77 * .33

(10 choose 7) * .77 * .33

P(x=8)

SSSSSSSFFF -> .78 * .32

(10 choose 8) * .78 * .32

Equation

&Sigma; r = 5 to 8 (10 choose r) .7r*3(10-r)

Date: 2024-10-09 Wed 00:00

Author: Anthony Rossi

Created: 2024-10-09 Wed 13:56