Slide4 bme adat_2015
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The document discusses using data analysis to answer relevant questions. It covers key steps in the process: defining the question, collecting relevant data, performing analysis on the data, and presenting results. Randomness and uncertainty are acknowledged as limitations. Statistical hypothesis testing is introduced as a framework for making inferences about populations based on sample data. An example question and poll results are provided to illustrate hypothesis testing.
Slide4 bme adat_2015
- 1. session#4 Divényi János @divenyi.janos
- 2. b.socrative.com Student login into room BMEADAT
- 3. How to find answers to relevant questions using data
- 7. How does a new piece of information affects what we know about the world? www.bigstockphoto.com
- 8. P(A|B) conditional probability probability that A occurs given than B has occurred
- 12. RANDOMNESS YOU CAN NEVER BE SURE http://dilbert.com/strip/2001-10-25
- 16. Jake VanderPlas Statistics for Hackers
- 21. Statistical Hypothesis Inference Testing Charles Lambdin
- 22. Statistical Hypothesis Inference Testing Charles Lambdin
- 23. Mr. Allen, the candidate for political Party A will run against Mr. Baker of Party B for office. Past races between these parties for this office were always close, and it seems that this one will be no exception – Party A candidates always have gotten between 40% and 60% of the vote and have won about half of the elections. Carl Morris (1987)
- 24. QUESTION Mr. Allen needs to know whether he is going to win the election, so he orders a poll. Which of three outcomes would be the most encouraging for him? (a) Y = 15, n = 20 (b) Y = 115, n = 200 (c) Y = 1046, n = 2000 Carl Morris (1987)