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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.

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Q: What is the mean and standard deviations and the standard normal distribution?
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Related questions

In a standard normal distribution 95 percent of the data is within plus standard deviations of the mean?

95% is within 2 standard deviations of the mean.


What percentage of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution?

99.7% of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution.


How many standard deviations is the first quartile away from the mean on a Normal distribution?

0.674 sd.


How many standard deviations are 95 percent of measurements away from the mean?

95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.


What percentage of observations of a normal distribution is represented by the mean plus or minus 1.96 standard deviations?

95%


What percentage of observations of a normal distribution is represented by the mean plus or minus 2 standard deviations?

about 68%


What percentage of observations of a normal distribution is reprented by the mean plus or minus 1.96 standard deviations?

The probability of the mean plus or minus 1.96 standard deviations is 0. The probability that a continuous distribution takes any particular value is always zero. The probability between the mean plus or minus 1.96 standard deviations is 0.95


What percent of the data in a normal distribution lies more than 2 standard deviations above the mean?

2.275 %


What percentage of a normal distribution is within 2 standard deviations of the mean?

I believe the standard deviations are measured from the median, not the mean.1 Standard Deviation is 34% each side of median, so that is 68% total.2 Standard Deviations is 48% each side of median, so that is 96% total.


Do some normal probability distributions have different means and different standard deviations?

Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.


The mean of a standard normal distribution is?

The mean of a standard normal distribution is 0.


The mean plus or minus the standard deviation for a normal distribution provides a probability range of what percent?

in a normal distribution, the mean plus or minus one standard deviation covers 68.2% of the data. If you use two standard deviations, then you will cover approx. 95.5%, and three will earn you 99.7% coverage