Lecture7

Lecture7 - Lecture 7 Complex Events and Conditional...

This preview shows pages 1–6. Sign up to view the full content.

Lecture 7: Complex Events and Conditional Probabilities Chapter 5: Probability and Sampling Distributions 1/30/12 1 Lecture 7

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
5.1 Chance Experiments A chance experiment (or a random experiment) - An activity or situation whose outcomes depend on chance to some degree. - To determine whether a given activity qualifies as a chance experiment, ask: Will I get exactly the same result if the experiment is repeated more than once? If the answer is “No”, then it is a chance experiment. - Examples: - determine whether a metal part withstands a stress test, - record if it rains tomorrow, - measure the yield of a chemical reaction, - assess the potency of a pharmaceutical product, - measure the volume of water flow in a drainage system.
Events To compute probabilities, we need to work with the outcomes of chance experiments, which can be divided Into two types: Simple Events : individual outcomes Events : collections of simple events Sample Space: Obtained by taking all simple events together Venn Diagrams – useful for depicting relationships between events

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Venn Diagrams See from Pg 195, the textbook
Example Consider: An experiment of tossing a coin three times Simple Events: e.g. HHT , THT , …. How many in total? 8 simple events: HHH, HHT, HTH, HTT, THH, THT, TTH, TTT What is the sample space ?

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern