To compute the mean you add all of the values together, and then divide by the number of numbers.
For example, for the set of 1,2,3,4,5 we the mean is (1+2+3+4+5)/5 = 3.
If you do this for a set of percentage scores, then you have the mean percentage score.
If you are starting with a set of fractions, then convert them to percentages first. For example, if Tim got 3 answers out of 5 correct and Tammy got 5 out of 5, then 3/5 = 0.6 and 5/5 = 1, which is 60% and 100%. (0.6+1)/2 = 0.8, or an average of 80%.
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Take the total of all the numbers and divide it by the total number of numbers. If you have the numbers 1,2,3,4, and 5, you would add them together and get 15, then divide by 5 (the number of numbers) to get 3.
You'll need to determine the percentage from there. So, in order for there to be a percentage, you'd need three out of (some number). Let's pretend these are the results of a five-question test. You have a mean score of 3, therefore divide that by the total (3/5) and multiply by 100 to get the percentage. The average percentage is 60%.
You can also convert all of the scores to percentages before calculating the mean, which will give you the same result.
To compute a z-score for the Beery Visual-Motor Integration (VMI) test, first obtain the raw score from the test. Then, use the mean and standard deviation of the normative sample for the Beery VMI to calculate the z-score using the formula: ( z = \frac{(X - \mu)}{\sigma} ), where ( X ) is the raw score, ( \mu ) is the mean, and ( \sigma ) is the standard deviation. The resulting z-score indicates how many standard deviations the raw score is from the mean of the normative population.
There is insufficient information in the question to properly answer it. In order to compute a Z score from a raw score, you need the mean and the the standard deviation, neither of which was given. Please restate the question.
The same way that you compute it anywhere else.To find x% of Y you calculate X/Y *100.
A z-score is a means to compare rank from 2 different sets of data by converting the individual scores into a standard z-score. The formula to convert a value, X, to a z-score compute the following: find the difference of X and the mean of the date, then divide the result by the standard deviation of the data.
Compute = calculate; perimeter = measurement of the outside edge.