In the context of money, "score" typically refers to a sum of twenty dollars. The term is often used in slang or informal settings, especially in discussions about transactions, debts, or financial dealings. For example, if someone says they need to borrow a score, it means they are asking for $20.
It means they want to spend money to get the info, basically its S for Subscribe.
it means that the score is above the mean
Yes.z = (raw score - mean)/standard error.Since the standard error is positive, z < 0 => (raw score - mean) < 0 => raw score < mean.
To find the mean from a raw score, z-score, and standard deviation, you can use the formula: ( \text{Raw Score} = \text{Mean} + (z \times \text{Standard Deviation}) ). Rearranging this gives you the mean: ( \text{Mean} = \text{Raw Score} - (z \times \text{Standard Deviation}) ). Simply substitute the values of the raw score, z-score, and standard deviation into this formula to calculate 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.
It means they want to spend money to get the info, basically its S for Subscribe.
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
it means that the score is above the mean
my meld score is 16. what does that mean?
Yes.z = (raw score - mean)/standard error.Since the standard error is positive, z < 0 => (raw score - mean) < 0 => raw score < mean.
Yes. If a score is below the mean, the z score will be negative.
Economical background means what your background is money wise. How much you make a year, your credit score, etc...
The Score grossed $113,542,091 worldwide.
If you give grantsgov $490 to raise your credit score, you will lose the money and your credit score will not be raised.
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.
One application is in accounting money- money owed is a negative balance ; money owed you is positive. Another application is in keeping score in games in which penalties can subtract from you score- you may end up with a negative score.