PPT-Intro to Probability

Martina Litschmannová m artinalitschmannova vsbcz K210 Probability basics Statistical random experiment A r andom experiment is an action or process that leads to one of several possible outcomes . Mr. Bernstein. September 29, . 2014. Intro to Marketing. Mr. Bernstein. What is Alibaba?. Amazon, Ebay. . and. Paypal rolled into one. 90%+ market share in China, growing in Emerging Markets. Offers global reach. Whenthegoalis... ...usetactic verysimple auto,tautoorfirstorder p/\q split p\/q leftorright p-q intro ~p intro pq split anassumption assumption forallx,p intro existsx,p existst TousehypothesisH... Mr. Bernstein. Endorsements. October 14, 2014. Intro to Marketing. Mr. Bernstein. Definition of an Endorsement. . AKA . Testimonials, an Endorsement is a public approval of a good or service. . Can be TV, radio, signage, social media, or other media. We are flipping 3 coins and the outcomes are represented by a string of H’s and T’s (HTH, etc.). . How many elements are there in the sample space?. Express the event “There are more heads than tails” as a set.. We are flipping 3 coins and the outcomes are represented by a string of H’s and T’s (HTH, etc.). . How many elements are there in the sample space?. Express the event “There are more heads than tails” as a set.. Vocab reminders. Genes are located at a particular. place on DNA (. locus. ). Focus on one locus.. Each partner in a homologous pair (one from mom, one from dad) has the same gene at that locus. The gene might vary, though—an . 4. Introduction. (slide 1 of 3). A key . aspect of solving real business problems is dealing appropriately with uncertainty.. This involves recognizing explicitly that uncertainty exists and using quantitative methods to model uncertainty.. What we learned last class…. We are not good at recognizing/dealing with randomness. Our “random” coin flip results weren’t streaky enough.. If B/G results behave like independent coin flips, we know how many families to EXPECT with 0,1,2,3,4 girls.. Slide . 2. Probability - Terminology. Events are the . number. of possible outcome of a phenomenon such as the roll of a die or a fillip of a coin.. “trials” are a coin flip or die roll. Slide . Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 2 Title and Outline. 2. 2. Probability. 2-1 Sample Spaces and Events . 2-1.1 Random Experiments. 2-1.2 Sample Spaces . Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 2 Title and Outline. 2. 2. Probability. 2-1 Sample Spaces and Events . 2-1.1 Random Experiments. 2-1.2 Sample Spaces . A value between zero and one that describe the relative possibility(change or likelihood) an event occurs.. The MEF announces that in 2012 the change Cambodia economic growth rate is equal to 7% is 80%.. Probability and Probability Distribution Dr Manoj Kumar Bhambu GCCBA-42, Chandigarh M- +91-988-823-7733 mkbhambu@hotmail.com Probability and Probability Distribution: Definitions- Probability Rules –Application of Probability WIDA ConsortiumEnglish Language Development Office of English Language Learners