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If the mean equals 500 and the standard deviation equals 100 Bob scored at 2nd standard deviation-what was his score?
Bob scored 300 or 700.
Why use the T score?
T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
How do you find the mean from raw score z score and standard deviation?
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.
What happens to the standard score as the standard deviation increases?
The absolute value of the standard score becomes smaller.
In statistics what shows how far away a measurement is from the mean or average of the set?
The "z-score" is derived by subtracting the population mean from the measurement and dividing by the population standard deviation. It measures how many standard deviations the measurement is above or below the mean. If the population mean and standard deviation are unknown the "t-distribution" can be used instead using the sample mean and sample deviation.
If the mean equals 500 and the standard deviation equals 100 Bob scored at 2nd standard deviation-what was his score?
Bob scored 300 or 700.
Why use the T score?
T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
When is a t test better than a z score?
When you don't have the population standard deviation, but do have the sample standard deviation. The Z score will be better to do as long as it is possible to do it.
If mean equals 18.6 standard deviation equals 4 what is the z score?
The z score, for a value y, is (y - 18.6)/4
What would the Z score be if Z equals 0 and Z equals -1.41?
1.41
What is the z score of x equals 108?
You need the mean and standard deviation in order to calculate the z-score. Neither are given.
How do you find the mean from raw score z score and standard deviation?
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.
What happens to the standard score as the standard deviation increase?
The standardised score decreases.
Which is better a score of 92 on a test with a mean of 71 and a standard deviation of 15 or a score of 688 on a test with a mean of 493 and a standard deviation of 150?
score of 92
What happens to the standard score as the standard deviation increases?
The absolute value of the standard score becomes smaller.
How do you calculate standard deviation with the help of z-score?
A z-score cannot help calculate standard deviation. In fact the very point of z-scores is to remove any contribution from the mean or standard deviation.
What statistic is produced when the difference between a score and then mean is divided by the standard deviation?
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)
