Chapter 5 Extra Review

Give an example of a real-life application where Poisson distribution can be used to model the number of occurrences of a certain event.

• Amount of rainfall in a specific area

• Temperature fluctuations throughout the day

• Customer arrivals at a service center

• Number of goals scored in a soccer match

Give an example of a real-life application where Poisson distribution can be used to model the number of occurrences of a certain event.

• Number of phone calls at a call center

• Number of cars in a parking lot

• Number of students in a classroom

• Number of pages in a book

The probability John wins a chess game is 0.4. Given that he plays only 5 games a week, find the probability that in any week he wins at least 2 games.

• 0.663

• 0.337

• 0.922

• 0.346

Salmi expected to receive 4 emails in a week. Find the probability of receiving 8 emails for the next 2 weeks.

• 0.0511

• 0.0297

• 0.5470

• 0.1395

The mean number of accidents per month at a certain intersection is 3.What is the probability that in any given month exactly 4 accidents will occur at this intersection?

• 0.081

• 0.672

• 0.168

A certain maternity wing has a mean number of 6 babies born a day.  What is the probability of 7 babies being born in this maternity wing on any given day?

• .8571
• .1490
• .1377
• .0213

At a certain restaurant, there is a 70% probability that the flowers on your table will be yellow. If you are there with a group that is occupying 6 tables, what is the probability that 5 of the tables will have yellow flowers?

• 70%

• 70.6 %

• 30.3 %

• 5.0 %

There is an average of 3 road construction projects that take place at any one time in a city.  Find the probability that exactly 5 road construction projects are currently taking place.

• .6000
• .0112
• .1404
• .1008

If 3% of electronic units manufactured by a company are defective. Find the probability that in a sample of 200 units, less than 2 bulbs are defective.

• 0.9826

• 0.0174

• 0.0620

• 0.9380

In a Poisson distribution, if the mean is 3, what is the probability of getting more than 2 occurrences in a given interval?

• P(0) + P(1) + P(2)

• 1 - P(0) - P(1) - P(2)

• 1 - P(0) + P(1) + P(2)

• P(3)