10 red cards , 80+ yellows. Only FIVE GAMES IN

Steevee · Sep 21, 2011

great copy and paste jobbie there

TheRossi · Sep 21, 2011

No I erm, wrote it this morning. For fun.

Jonesey · Sep 21, 2011

80 yellow cards after 49 games equates to 1.63 cards per game.

Last season, 1246 cards were issued in 380 games which equates to 3.27 cpg, so this season is running at about 50% of last seasons rate

Unfortunately, the OP should have been a little more methodical about the number of cards issued so far this season - the actual total is 177, not 80

177 cards from 49 games is 3.61 cpg, so currently slightly higher than last year

Robby202 · Sep 21, 2011

TheRossi said: ↑

Another form of evidence is statistics. Statistics are a favorite evidence of many writers and speakers. They provide actual numbers in support of ideas and conclusions. If you can show that 75% of high schools seniors cannot find Washington State on a map of North America, then it is strong evidence for your contention that high school seniors are not being taught the geography of the United States. Such evidence is not only difficult to refute, it's often accepted as the final word in what's true or not true.
Statistics are a prime source of proof that what you say is true. Statistics are based on studies: a search for possible connections between disparate facts that nonetheless have a connection. If you remember your math classes, you will recall the concept of sets and subsets. Statistics are, in large measure, concerned with that concept. They are basically telling you the proportion a subset represents in a set. To clarify this idea, look at political polls. Candidate A receives 46% approval, Candidate B receives 43% approval. Thus, the subset "responses favoring Candidate A" is 46% of the whole set, "People asked about Candidates A and B."

Another example, from real life. William Chadwick, with his assistant William Farr, during the great cholera plague in London in 1831, drew together factors on who was getting the disease and where they were getting it in London. They were looking for some common factor that would lead to what was the source of the disease. Their statistics led them to the conclusion that the polluted waters of the Thames River was the source, and there was a particular pump that supplied the water to certain neighborhoods that was a prime source of infection. With these data they were able to make recommendations which did much to reduce the incidence of cholera in London.

Statistics also use samples to obtain results, rather than doing actual "head counts". Neilson ratings on how many of what kind of people watch a particular TV program is not determined by the Neilson company asking all 300 million people in the United States what they are watching every few minutes. What they use is a sample of the population (called the Neilson families) that, demographically, represent the 300 million people. Neilson selects these families very carefully since each one represents the viewing habits and desires of some 60,000 people. Nonetheless the statistics generated by the Neilson measurements are used to make programming decisions and set advertising rates and budgets, things that represent billions of dollars. Thus the selection of the sample, whether Neilson's or incidence of AIDS in the US population, is of paramount importance in the validity of the statistics thus generated.

The above is, of course, a simplistic view of an extremely complicated discipline. It is, nonetheless, the essence of statistics.

Statistics are invaluable as evidence in support of conclusions. If you can either find or generate statistics that show the truth of your conclusions, there are few that would refute your ideas.

There are, of course, problems with using statistics as evidence. Let me remind you of a famous saying: "There are three ways to not tell the truth: lies, damned lies, and statistics." What you must do is ask yourself some questions: who did the study that came up with the statistics, what exactly are the statistics measuring, who was asked, how were they asked, and compared with what? If one believes in the truth of statistics (and there are many such), then how does one explain that the same Presidential candidate can be 20 points ahead and 5 points behind his opponent in the polls at the same time? After all, both polls are "statistics". What you must be examine, if you wish to use statistics as evidence, are the above questions.
Click to expand...

Clear bloody plagerism http://public.wsu.edu/~taflinge/evistats.html

Knob

10 red cards , 80+ yellows. Only FIVE GAMES IN

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10 red cards , 80+ yellows. Only FIVE GAMES IN

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