Loading in 5 sec....

Probability DistributionsPowerPoint Presentation

Probability Distributions

- 84 Views
- Uploaded on
- Presentation posted in: General

Probability Distributions

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Probability Distributions

- Take out a coin and a piece of paper – you will flip your coin to answer the following problems.
- Heads is true, tails is false.

Get out your coin and guess the following:

1. If a gambling game is played with expected value 0.40, then there is a 40% chance of winning.

- 2. If A and B are independent events and P(A)=0.37, then P(A|B)= 0.37.

- 3. If A and B are events then P(A) + P(B) cannot be greater than 1.

- 4. If P(A and B) = 0.60, then P(A) cannot be equal to 0.40.

- 5. If a business owner, who is only interested in the bottom line, computes the expected value for the profit made in bidding on a project to be -3,000, then this owner should not bid on this project.

- 6. Out of a population of 1000 people, 600 are female. Of the 600 females 200 are over 50 years old. If F is the event of being female and A is the event of being over 50 years old, then P(A|F) is the probability that a randomly selected person is a female who is over 50.

- #1 – False
- #2 – True
- #3 – False
- #4 – True
- #5 – True
- #6 – False
Tally up your responses – Did you pass?

- 0 right
- 1right

0 right

1right

2 right

3 right

4 right

5 right

6 right

x right

Probability Distribution for Guessing on 6 True or False Questions

http://www.mathsisfun.com/data/quincunx.html

- A binomial probability is an experiment where we count the number of successful outcomes over n independent trials
Question: Is guessing the answer on 6 true / false questions a binomial probability?

- In general, we can calculate a binomial probability of x successes on n independent trials as:
Eg) What is the probability of guessing 4 out of 6 answers on a true or false quiz?

You are shooting 8 free throws and you have a 75% of scoring on each. What is the probability that you will:

- Score on 0 shots?
- Score on 1 shot?

You are shooting 8 free throws and you have a 75% of scoring on each. What is the probability that you will:

- Score on 0 shots?
- Score on 1 shot?
- Score on 2 shots?
- Score on at least 2 shots?

5. Score at least 7 shots?

6. Score 6 or 7 shots?

7. Score all of your shots except the last one?

- How many shots do you expect to score?

- In general, the expected value of a binomial probability is given as:
Try: What is the expected value of

- Guessing on 100 True / false questions?
- Rolling a dice 600 times and counting 6s?
- Shooting 200 baskets with a 75% chance of making each one

Suppose that 2% of all calculators bought from Dollarama are defective.

You randomly collect 20 of them.

What is the probability that:

- None of them are defective?
- 2 or more are defective?
- In a batch of 1500, how many do you expect to be defective?

What is a probability distribution?

How do you calculate a binomial probability?

What are two conditions that you need in order to use a binomial probability calculation?

Why do you multiply a binomial probability by nCx?

- p. 385 #1, 2, 3, 5, 6bc, 7ab, 8ab, 15, 17 Challenge: 10, 11