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    Originally posted by JohnDoe View Post
    My entire point is that trying to analyze a game or a player, merely by looking at stats is lunacy. People brought up stats to back up their argument and I used stats to pick holes in them. The truth is that the only way to see for sure if someone is good at something is watching the game. Like a pass, every tackle is different. Different players with varying abilities will attempt different things of different levels of difficulty. That's not so hard to comprehend. Lucas does what he feels he can do, and he sticks at it, which is fair enough to him, but what he does is not good enough for a player in a top side in my opinion.

    That is all.
    If stats disproved my assertions I'd say they were lunacy too. This is not my opinion but it remains a fact that Lucas committed an average of fewer than two fouls a game last season - fact, not opinion - so by any yardstick he must be a good tackler, given the number of tackles he makes. His accusers, on the other hand falsely state as fact that he gives away lots of fouls in dangerous positions, which is patently bollocks.

    Comment


      For a sample to hold true accuracy it is generally believed that the sample size should be over 25, or to test whether the sample is true the Central Limit Theorum could be applied.

      If we want to get technical then we would need to collect data for the average fouls for all players in the EPL over say, the last 10 years. By applying the central limit theorum we will be able to find if the null hypothesis that Lucas has a lower foul count on average may be plausible, thus not rejecting the null hypothesis.

      STATS
      96 Never Forgotten

      Comment


        Originally posted by Fernandinho View Post
        For a sample to hold true accuracy it is generally believed that the sample size should be over 25, or to test whether the sample is true the Central Limit Theorum could be applied.

        If we want to get technical then we would need to collect data for the average fouls for all players in the EPL over say, the last 10 years. By applying the central limit theorum we will be able to find if the null hypothesis that Lucas has a lower foul count on average may be plausible, thus not rejecting the null hypothesis.

        STATS
        very good

        Comment


          This discussion is the most convoluted load of old bollocks I've ever read.
          Modifying post.

          Comment


            Originally posted by JohnDoe View Post
            So Lucas is as good a tackler as Mascherano according to stats.

            Stats immediately lose all credibility.
            No, they don't. It shows Lucas is a good tackler and gives away relatively little fouls, which contradicts your claims. You are wrong on that count. It doesn't show that Lucas is as good a tackler as Mascherano or is as good a player as Mascherano. It doesn't show information on the quality of there play, the use of the ball, positioning etc. It simply shows that Lucas doesn't give away many fouls and does make a lot of tackles.

            Rejecting data because it doesn't fit your preconceptions is creationist level ignorance.
            www.Liverpoolbaymlt.org

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              Data should only be rejected if it can be proved, on a 96% confidence interval that the null hypothesis does not equal the average of the population.
              96 Never Forgotten

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                Originally posted by Buzzo View Post
                This discussion is the most convoluted load of old bollocks I've ever read.

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                  Originally posted by Fernandinho View Post
                  Data should only be rejected if it can be proved, on a 96% confidence interval that the null hypothesis does not equal the average of the population.
                  e = mc squared

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                    e^1/2=(m^1/2)c
                    96 Never Forgotten

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                      Originally posted by Fernandinho View Post
                      e^1/2=(m^1/2)c
                      ya lost me at e, maths was never my strong point

                      Comment


                        Originally posted by Fernandinho View Post
                        Data should only be rejected if it can be proved, on a 96% confidence interval that the null hypothesis does not equal the average of the population.
                        95% confidence interval is good enough for most of us .

                        You don't need to look at this data in that way, looking at the percentages is good enough for this information.
                        www.Liverpoolbaymlt.org

                        www.twitter.com/lbmlt

                        www.Facebook.com/liverpoolbaymarinelifetrust

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                          Haha typo I had a feeling you would know about this stuff...
                          96 Never Forgotten

                          Comment


                            Probably sub consciously thinking about the z-score confidence interval which uses 1.96 in the formula
                            96 Never Forgotten

                            Comment


                              Ouch. Doe and Perkins v everyone. Oh dear.
                              Thanks very much for being ‘This Mornings’ Farmer’

                              Comment


                                Originally posted by Shaggy View Post
                                Ouch. Doe and Perkins v everyone. Oh dear.
                                Hard to believe that it could happen in a Lucas thread with the ‘everyone’ actually supporting him.

                                I always used to wonder if it was worth my while fighting Lucas’ corner, thinking that for the majority to change their opinions on him, something so completely extraordinary would have to happen that it would practically take a miracle.

                                So then God delivers this man to Liverpool…















































                                If we are all only happy when we are really winning in the end, when your race finishes, what life would that be?

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