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VQ UOA from 350z, statistics redone to eliminate popularity effects
VQ UOA from 350z, statistics redone to eliminate popularity effects
Picture Added 04-21-2009 01:05 AM

Showing Picture Comments 1 to 2 of 2
  1. Rogue Z
    10-28-2009 09:53 PM - permalink
    Rogue Z
    Dude i've taken a **** load of chemistry classes and i still dont get this chart....what does the numbers represent....particles of the element? why is some green and some red?
  2. wstar
    10-29-2009 05:34 PM - permalink
    wstar
    The numbers represent how much of a given trace engine wear element was found in the samples. "# Samples" is how many different reports were given for this oil type. The original spreadsheet looked at the statistics of the situation to pick out which of these were "outliers" for each type of wear metal: the oils that statistically stand out as too much wear or very little wear relative to the competition.

    This refactored spreadsheet I posted does the same thing, but it gives equal weight to each oil type instead of each sample. One of the flaws in the previous spreadsheet was that by giving equal weight to each individual sample, the most popular oil looks the most "normal" (e.g. with 50 samples of mobil1 and 1 sample each of 10 other oils, mobil1 will always be dead-center of the statistics with that method, regardless of reality). My new summary numbers at the bottom give each brand/type equal weight. Red and Green flag the statistical outliers (more than one Standard Deviation from the Mean), Red being high wear, and Green being really good (low) wear.

    There are still many other flaws with this data, the chief one being that there are far too few samples to draw any meaningful conclusions from anyways, but it's all we've got.

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