The absolute value of the z-score.
Oh, dude, if you've got a number that's off the charts and not on the Normal Distribution table because it's like, way too high, you can just say it's like, super rare or extreme. Just pretend it's a celebrity at a regular person party - they stand out, but they're still part of the crowd, you know? Just acknowledge it's a statistical outlier and move on with your life.
Writing a number in standard form simply means to express the number in its 'normal' form. Therefore, the way you wrote the number is the standard form for your example.
Writing a number in standard form simply means to express the number in its 'normal' form. Therefore, the way you wrote the number is the standard form for your example.
Writing a number in standard form simply means to express the number in its 'normal' form. Therefore, the way you wrote the number is the standard form for 620.
The way you wrote it is the standard notation. Standard notation means to write the number in its standard form. So, a number such as 150 is simply written as 150 in standard notation. The same applies to decimals.
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You cannot have a standard deviation for 1 number.
You can't average means with standard deviations. What are you trying to do with the two sets of data?
z-score or standard score... tells you how many standard deviations away from the mean a particular number is in relations to all numbers in a population (or sample)
Standard deviations are measures of data distributions. Therefore, a single number cannot have meaningful standard deviation.
The Bank, itself does not have a standard deviation. The number of branches, the number of customers, lending, profits, CEO's pay are all variables which will have standard deviations but none of them are mentioned. It is not possible to guess which one you are interested in!
16.5 is 1 standard deviation from the mean. If you add the mean of 14 to the 1 standard deviation of 2.5, the result is 16.5.
Mean is the average, sum total divided by total number of data entries. Standard deviation is the square root of the sum total of the data values divided by the total number of data values. The standard normal distribution is a distribution that closely resembles a bell curve.
A z-score gives the distance (specifically number of standard deviations) from the mean so when you compare z-scores, it gives a direct comparison of how far from the mean the values are.
The account number is the number assigned to a particular account. A BSB is the number in front of the account number, in the Australian banking system. The BSB number denotes what 'B'ank', 'S'tate, and 'B'ranch the account is in.
z = (x - u)/(standard dev)The z score expresses the difference of the experimental result x from the most probable result u as a number of standard deviations. The probability can then be calculated from the cumulative standard normal distribution. ie sigma(z)
Chebyshev's rule, also known as Chebyshev's inequality, is a statistical theorem that describes the proportion of values that fall within a certain number of standard deviations from the mean in any distribution. It states that for any set of data, regardless of the shape of the distribution, at least (1 - 1/k^2) where k is greater than 1, of the data values will fall within k standard deviations of the mean.