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Olympic Questions Describe the costs and benefits of staging the Olympics. Define the meaning of the Olympic Motto. Label any Olympic sporting apparatus with design features. Locate any sporting apparatus from games before 1960 and compare with today's apparatus. Write a news report. Draw a new symbol for the 2000 Olympics. Identify problems that will occur at the Sydney Olympics. Select an athlete and follow their progress through the games. Comprehension : Confirming / Understanding Express your opinion of 'Drugs in Sport' through poetry. Define a meaning for Olympism in the New Millennium. Illustrate this caption: "Olympic as a Media Event in the Information Society" Transform one of the rules of any Olympic sport. Confirm the IOC's current policy on drugs with one good argument. Match an Olympic athlete with an inanimate object and suggests three things that are different and three things that are the same. Restate the Olympic motto in your own words. How does drug use affect competition? Solve terrorism.

Dunning–Kruger effect Cognitive bias in which people of low ability mistakenly assess their cognitive ability as greater than it is In the field of psychology, the Dunning–Kruger effect is a cognitive bias in which people mistakenly assess their cognitive ability as greater than it is. It is related to the cognitive bias of illusory superiority and comes from the inability of people to recognize their lack of ability. As described by social psychologists David Dunning and Justin Kruger, the cognitive bias of illusory superiority results from an internal illusion in people of low ability and from an external misperception in people of high ability; that is, "the miscalibration of the incompetent stems from an error about the self, whereas the miscalibration of the highly competent stems from an error about others Definition[edit] Original study[edit] Later studies[edit] On average, men overestimate their abilities by 30% and women by 15%.[14] Underlying issues of numeracy[edit] Popular recognition[edit]

Fallacy List 1. FAULTY CAUSE: (post hoc ergo propter hoc) mistakes correlation or association for causation, by assuming that because one thing follows another it was caused by the other. example: A black cat crossed Babbs' path yesterday and, sure enough, she was involved in an automobile accident later that same afternoon. example: The introduction of sex education courses at the high school level has resulted in increased promiscuity among teens. 2. example: Muffin must be rich or have rich parents, because she belongs to ZXQ, and ZXQ is the richest sorority on campus. example: I'd like to hire you, but you're an ex-felon and statistics show that 80% of ex-felons recidivate. 3. example: All of those movie stars are really rude. 4. example: What's the big deal about the early pioneers killing a few Indians in order to settle the West? 5. 6. example: Either you favor a strong national defense, or you favor allowing other nations to dictate our foreign policy. example: It’s not TV. 7. 8. 9. 10. 11.

Goodbye, Oxford comma? Hello, Shatner comma! Rumors of the death of the Oxford comma have been greatly exaggerated. The Oxford comma, thought by some to be an annoying punctuation foible, appears in a list of multiple items before the "and." Here's how the Oxford comma looks in a sentence: "Scotty transported Spock, Kirk, McCoy, Sulu, and a redshirt down to the planet's surface." The Twitterverse erupted Wednesday that the Oxford comma had been dropped by none other than the Oxford University Press. Yesterday, Mediabistro's GalleyCat ran a post that made it seem like Oxford University Press was dropping the use of its eponymous comma, also known as the serial comma. What's good about a Twitter kerfuffle is that while it might be full of outrage and disappointment -- I myself retweeted the sad but inaccurate news -- it is also full of people who can see the bright side. The Shatner comma! See, the problem people have with the Oxford comma is that it puts a pause where some think one doesn't belong. -- Carolyn Kellogg

File Sharing Following the death of Napster, all of the file sharing networks that rose to main-stream popularity were decentralized. The most popular networks include Gnutella (which powers Limewire, BearShare, and Morpheus) and FastTrack (which powers KaZaA and Grokster). The decentralization provides legal protection for the companies that distribute the software, since they do not have to run any component of the network themselves: once you get the software, you become part of the network, and the network could survive even if the parent company disappears. All of these networks operate as a web or mesh of neighboring node connections. Your node connects to a few other nodes in the network, and those nodes connect to a few other nodes, which in turn connect to a few other nodes, and so on. This layout is similar to a real-life social network: you know people, and those people know other people, who in turn know other people, and so on. Notice the "My Address" portion of these responses.

Critical and Creative Thinking - Bloom's Taxonomy What are critical thinking and creative thinking? What's Bloom's taxonomy and how is it helpful in project planning? How are the domains of learning reflected in technology-rich projects? Benjamin Bloom (1956) developed a classification of levels of intellectual behavior in learning. This taxonomy contained three overlapping domains: the cognitive, psychomotor, and affective. Within the cognitive domain, he identified six levels: knowledge, comprehension, application, analysis, synthesis, and evaluation. Critical Thinking Critical thinking involves logical thinking and reasoning including skills such as comparison, classification, sequencing, cause/effect, patterning, webbing, analogies, deductive and inductive reasoning, forecasting, planning, hypothesizing, and critiquing. Creative thinking involves creating something new or original. Knowledge Examples: dates, events, places, vocabulary, key ideas, parts of diagram, 5Ws Comprehension Application Analysis Synthesis Evaluation Other Sites

P-value In statistical significance testing, the p-value is the probability of obtaining a test statistic result at least as extreme as the one that was actually observed, assuming that the null hypothesis is true.[1][2] A researcher will often "reject the null hypothesis" when the p-value turns out to be less than a certain significance level, often 0.05 or 0.01. Such a result indicates that the observed result would be highly unlikely under the null hypothesis. Many common statistical tests, such as chi-squared tests or Student's t-test, produce test statistics which can be interpreted using p-values. In a statistical test, the p-value is the probability of getting the same value for a model built around two hypotheses, one is the "neutral" (or "null") hypothesis, the other is the hypothesis under testing. An informal interpretation with a significance level of about 10%: Definition[edit] Example of a p-value computation. is the observed data and , then (right tail event) or and interval. .

Logical Paradoxes The Resume Is Dead, The Bio Is King If you’re a designer, entrepreneur, or creative – you probably haven’t been asked for your resume in a long time. Instead, people Google you – and quickly assess your talents based on your website, portfolio, and social media profiles. Do they resonate with what you’re sharing? Do they identify with your story? Are you even giving them a story to wrap their head around? one are the days of “Just the facts, M’am.” To help you with this, your bio should address the following 5 questions: Who am I? Your bio is the lynchpin for expanding your thought leadership and recognition, especially online. Here’s the challenge: who taught you how to write your bio? Admittedly, most of us never got a lesson in this essential task. The personal branding industry has only muddied the waters. Instead, share more of what you really care about. With all this in mind, here’s a few key pointers for reinventing your bio as a story: 1. You’re a creative. 2. 3. Think frugally here. 4. What’s Your Take?

Lesson 1186 Yes, it's only September 30th today, but I figured you should get at least a day to plan for Sages' Day, right? Years ago in college, I was abroad for April Fools' Day, so I belatedly celebrated it with October Fools' Day by kidnapping a friend's guinea pig and taking pictures with it in a casserole dish as I held a knife over it and placed it in a microwave. I wish I'd gone for Sages' Day, now, though. Two quick notes: major thanks to everyone who helped transcribe all the past STW! Also, do you live in Minnesota?

critical-thinking - home Statistical hypothesis testing A statistical hypothesis test is a method of statistical inference using data from a scientific study. In statistics, a result is called statistically significant if it has been predicted as unlikely to have occurred by chance alone, according to a pre-determined threshold probability, the significance level. The phrase "test of significance" was coined by statistician Ronald Fisher.[1] These tests are used in determining what outcomes of a study would lead to a rejection of the null hypothesis for a pre-specified level of significance; this can help to decide whether results contain enough information to cast doubt on conventional wisdom, given that conventional wisdom has been used to establish the null hypothesis. Variations and sub-classes[edit] Statistical hypothesis testing is a key technique of both Frequentist inference and Bayesian inference although they have notable differences. The testing process[edit] An alternative process is commonly used: Interpretation[edit] Example[edit]

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