Yes.z = (raw score - mean)/standard error.Since the standard error is positive, z < 0 => (raw score - mean) < 0 => raw score < mean.
it means that the score is above the mean
z score = (test score - mean score)/SD z score = (87-81.1)/11.06z score = 5.9/11.06z score = .533You can use a z-score chart to calculate the probability from there.
z-score of a value=(that value minus the mean)/(standard deviation). So a z-score of -1.5 means that a value is 1.5 standard deviations below the mean.
You Get The Mean
If the Z Score of a test is equal to zero then the raw score of the test is equal to the mean. Z Score = (Raw Score - Mean Score) / Standard Deviation
Yes.z = (raw score - mean)/standard error.Since the standard error is positive, z < 0 => (raw score - mean) < 0 => raw score < mean.
my meld score is 16. what does that mean?
it means that the score is above the mean
Yes. If a score is below the mean, the z score will be negative.
z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.
z score = (test score - mean score)/SD z score = (87-81.1)/11.06z score = 5.9/11.06z score = .533You can use a z-score chart to calculate the probability from there.
Score = 20
a score is equal to twenty, so four score is 80
a score is equal to twenty, so four score is 80
A z score of -1.3 means that the score is located at the negative 1.3 sigma level with respect to the mean.
The formula for calculating the mean percentage score is to first add up all individual scores, then divide the total by the number of scores. This will give you the mean score. To convert the mean score to a percentage, you would then divide the mean score by the total possible score and multiply by 100. This will give you the mean percentage score.