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Raw data as in unmanipulated and otherwise not yet manipulated. If one forms values of standard deviation, average, max/min of original (raw) data, those values are not raw but post-analysis, manipulated, or condensed. Raw as in the raw measured data.
This question cannot be answered. You need the mean and standard deviation in order to compute a Z score for a Raw score. Please restate the question.
There is insufficient information in the question to answer it. To determine Z score, you need raw score, mean, and standard deviation. Please restate the question.
First, you probably need more than one raw score. If you only have one raw score then your range is one point, the (score - 1/2) to the (score + 1/2). For a score of 80, the range would be from 79.5 to 80.5. It is kind of meaningless if you find a range for just one score. You need a larger sample size. A better question is: "How do I find the range of a sample of raw scores?" You need all of the raw scores in your sample, not just one score. Because each whole number (i.e., 80) represents a continuum (e.g., of ability), the range goes from 1/2 a point below the lowest score to 1/2 a point above the highest score. Let's look at some fake data with 5 participants: 10 20 30 40 50. The highest score is 50. The lowest score is 10. The range is (10-.5) to (50+.5). The range of raw scores is 9.5 to 50.5, a range of 41 points. If you are looking for the easy answer, then the range is 10 to 50 (lowest score to highest score; a range of 40 points). If you for some reason only have one score (e.g., 80), the long answer is 79.5 to 80.5 (range of one), the short answer is that there is no variability (range of zero).
Let your raw score be x and M the mean and S the standard deviation. The Z score for your specific x is Z=(x-M)/S So say your score is 80 (out of 100) and the mean is 70 and the standard deviation is 10. Then the z score for your 80 is: (80-70)/10=1 If on the other hand you got a 60, then the z score would be -1.