95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
Z-Score.
My best estimate is around 1.5 standard deviations away from the norm.
49
Standard deviation helps business understand the research they have done on their potential customers. If the information deviates by one, then they know that they can rely on the information more so than research that deviates to standards deviations away from the mean.
If the mean score is 100 and the standard deviation is 15, the distribution of scores is likely to follow a normal distribution, also known as a bell curve. In this distribution, approximately 68% of scores fall within one standard deviation of the mean (between 85 and 115), about 95% fall within two standard deviations (between 70 and 130), and about 99.7% fall within three standard deviations (between 55 and 145). This pattern indicates that most scores cluster around the mean, with fewer scores appearing as you move away from the center.
Z-Score tells how many standard deviations a measurement is away from the mean.
the Z score, or standard score.
z score
z-score
z score
Z-Score.
My best estimate is around 1.5 standard deviations away from the norm.
z
0.674 sd.
Z-score
The answer depends on the individual measurement in question as well as the mean and standard deviation of the data set.
An IQ of 130 is considered "moderatley gifted." It's basically two standard deviations away from the norm (100).