Merced College; Don Power

 

STATISTICS - CH 6, LECTURE

 

6.1  Probability Distributions

 

Notion of a random variable:  a quantity that can take on different values

            Ex:  x = sum of spots on roll of two dice

            Ex:  x = nr heads on 4 flips of a coin

probability is a function of x

 

Use of Table X (binomial coeffs)

 

Prob must be between 0 and 1

Sum of all values of a prob dist must be 1

 

6.2  Binomial  Distribution

 

Typical situations

            Probability of 5 heads on 8 flips of a coin

            Probability of getting three 6's on 15 rolls of one die

 

Formula:  P(x) = f(x) =   For the distrib, x = 0, 1, 2, 3, ..., to n

            Interpretation

            Application:  Calculate for the three 6's on 15 rolls of one die

 

When to use?

            Fixed nr of trials

            Each trial is counted as a "success" or a "failure"

            Probability of success is the same on each trial  --  so applies to selection with replacement

            Trials are independent

 

Ex:  Problem 6.7 
            a.         Calculate for one value of x.  With exam designed so that 80% of people pass,
                        if 14 take the test, what is prob that 12 will pass, i.e. P(x=12)?

            b.         Find P(x³12) = P(x=12) + P(x=13) + P(x=14) by the formula

            c.         Tedious, so use table I, pg 484

 

Distribution:  Calculate for all possible values of x -- or, given in table

 

When can you not use the table?

            n³16

            p not listed (table has increments of 10%, and also 5%, 95%)

 

See # 18 & especially19 on probabilities of committing errors of rejecting claims or accepting claims.

 

6.3  Hypergeometric Distribution

 

Ex:  situation

            Prob of getting exactly 3 red m&m's if 7 are selected from a jar containing 8 reds and 20 others

            We've done before:

Use table to show how total set is partitioned, and how many are chosen from each part

 

Formula -- pg 211

 

Ex:  Calculate for one value of x:
            P(x=3) given a=8, b=20-8, n=7   [same as example above]

 

Distribution:  Calculate for all possible values of x, x=0, 1, 2, ..., 7

 

We can use binomial dist to approximate the hypergeometric,

if sample is no more than 5% of population   (n £ .05 (a+b))

 

Example

 

6.4  Poisson Distribution (and Poisson Approximation to Binomial)

 

Formula to use Poisson Distrib as approximation to binomial dist:

 

           

 

Applicable when n ³ 10 and np < 10.

 

e is approximately 2.71828

On many calculators, enter 1 INV LN to get e.

            Or to get ex for any exponent x, enter x INV LN 

 

 

 

 

 

Return to:  Merced College; Don Power               Updated 03/05/04 by Don Power