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It is mean + 2*standard deviation.
It is 1.6 standard deviations above the mean.
An IQ of 149 is very high for anyone. Depending on whether or not the IQ is based on 15 standard deviations or 16 standard deviations, this IQ will put you slightly above or below the highest 99.9% of the population (respectively). An IQ score is supposed to be independent of age, however people with very high IQ test scores as children often test at lower IQ test scores as adults.
Toward the higher end of 3 standard deviations above average.
15/1000
It is mean + 2*standard deviation.
It is 1.28
This is 3 standard deviations above and below the mean.
It is 1.6 standard deviations above the mean.
An IQ of 149 is very high for anyone. Depending on whether or not the IQ is based on 15 standard deviations or 16 standard deviations, this IQ will put you slightly above or below the highest 99.9% of the population (respectively). An IQ score is supposed to be independent of age, however people with very high IQ test scores as children often test at lower IQ test scores as adults.
If you are talking about the z-value of a point on the normal curve, then no, it is 1.5 standard deviations BELOW the mean.
Toward the higher end of 3 standard deviations above average.
15/1000
The answer depends on the value of the standard deviation. Without that information, the question cannot be answered.
2.576 sd
1
It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.