Poisson Distribution
may be used to Approximate the Binomial Distribution

 

Sample problem: Two hundred fifty-four people take a vacation from work at CFCC per year. Use the Poisson probability distribution to calculate the following probabilities.

(a) Probability that on a randomly selected day 1 person is on vacation.

(b) Probability that on a randomly selected day 4 persons are on vacation.

(c) Probability that on a randomly selected day at most 4 persons are on vacation.

(d) Probability that on a randomly selected day at least 4 persons are on vacation.

 

Step 1 uses the “poissonpdf(“ function. Step 2 uses the “poissoncdf(” function.

 

 

Step 1. NOTE: Use poissonpdf when finding the probability that x equals a particular value.

Press 2ND VARS. 

Use the down arrow to select C: poissonpdf( …

 

 

(a) After Step 1, Press ENTER.

Enter the mean [254/365 people per day on vacation], 1 person on vacation. The probability that one person is on vacation is 0.3470.

P(x = 1) = 0.3470.

 

 

(b) After Step 1, Press ENTER.

Enter the mean [254/365 people per day on vacation], 4 persons on vacation. The probability that four persons are on vacation is 0.0049.

P(x = 4) = 0.0049.

 

 

Step 2. NOTE: Use poissoncdf when finding the probability that x is less than or equal to a particular value.

Press 2ND VARS. 

Use the down arrow to select D: poissoncdf( …

 

 

(c) After Step 2, Press ENTER.

Enter the mean [254/365 people per day on vacation], 4 persons or less on vacation.

P(x ≤ 4) = 0.9992.

 

 

(d) Find P(x ≥ 4) by finding

1 – P(x < 4) = 1 – P(x ≤ 3).

Press 1 – poissoncdf(254/365,3) and ENTER. So P(x ≥ 4) =  people per day on vacation], 4 persons or less on vacation.

P(x ≤ 4) = 0.9992.