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Q: What is the z-score of a value that is 2.08 standard deviations greater than the mean?
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If a data point has a corresponding score of -1.5 then it is one and a half standard deviations above the mean value.?

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.


Another name for a standardized value of an observation in a normal distribution?

zscore


Give the term for the number of the standard deviations that a particular X value is away from the mean?

z


What denotes the number of standard deviations a particular score is from the mean?

The absolute value of the z-score.


What is 2 Standard Deviations above an average of .1407?

The answer depends on the value of the standard deviation. Without that information, the question cannot be answered.


A z-score of plus 1.6 represents a value which is how many standard deviations above the mean?

1


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 does a z-score of -1.5 mean?

z-score of a value=(that value minus the mean)/(standard deviation). So a z-score of -1.5 means that a value is 1.5 standard deviations below the mean.


What are all the values that a standard deviation can possibly take?

Any real value >= 0.


What does it mean to have 95 percent confidence in an interval estimate?

It means that 95% of the values in the data set falls within 2 standard deviations of the mean value.


What is the use of statistical mean in industry?

For different sets of data, the mean would be the summation of all observations, which are normally subdivided by the observation numbers. The mean value would frequently be quoted with standard deviations: mean would describe data central locations then standard deviations illustrate the spread. Substitute dispersion measures include mean variations that are always equal to average absolute deviations from the mean values. It is minimally responsive to the outliers. Hope this helps.


Can Standard Deviation be greater than 100?

Yes. It can have any non-negative value.