The raw score is any value that is observed.
"Ten score" refers to a quantity of 200. In this phrase, "score" means 20, so ten score is calculated as 10 times 20, which equals 200. The term is famously used in Abraham Lincoln's "Gettysburg Address," where he starts with "Four score and seven years ago," meaning 87 years ago.
It means that your raw score is four standard deviations below the mean. This will mean different things depending on the context of the question. If you're looking at the probability of a single score occurring in a given distribution (say, a score of 40 in a distribution of scores with a mean of 80 and a std. dev. of 10), then this means that the probability of getting a 40 is very, very low--less than .00002.
A "score" is 20. So 3 times 20 plus 10 = 70.
The z-score can't be calculated with the information given. A mean & standard deviation is required to put into the formula: Z = (x-mean)/sigma. Your x value is 10.
assuming you mean 10" by 10" tiles, 200
In the game of 10 for 200, you need 10 spades to score 200 points.
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.
A score is 20, so 200 years would be 10 score years.
10 score years.
"Ten score" refers to a quantity of 200. In this phrase, "score" means 20, so ten score is calculated as 10 times 20, which equals 200. The term is famously used in Abraham Lincoln's "Gettysburg Address," where he starts with "Four score and seven years ago," meaning 87 years ago.
One score is equal to 20 years, so the average life span of a tortoise, 200 years, is equivalent to 10 scores.
20
A score is 20 years, so 10 scores is 200 years.
It means that your raw score is four standard deviations below the mean. This will mean different things depending on the context of the question. If you're looking at the probability of a single score occurring in a given distribution (say, a score of 40 in a distribution of scores with a mean of 80 and a std. dev. of 10), then this means that the probability of getting a 40 is very, very low--less than .00002.
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).
a score is 20 twenty years, so score half means 10 years.
A "score" is 20. So 3 times 20 plus 10 = 70.