answersLogoWhite

0

Square the standard deviations, subtract/add them and calculate the square root of the subtraction/sum.

StDV=sqrt (StDvA^2+StDvB^2)

User Avatar

Wiki User

13y ago

What else can I help you with?

Related Questions

How many standard deviations is 16.50 from the mean?

How many standard deviations is 16.50 from the mean?


What is the sum of the deviations from the mean?

The sum of standard deviations from the mean is the error.


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 does normality mean in health and social care?

All minor deviations occurring with two standard deviations under the Gaussian curve are considered normal. Deviations occurring outside of two standard deviations are considered abnormal.


What is the standard deviation for Wechsler intelligence for children?

The mean for the WISC, like the WAIS, is 100. The deviations from 100, or standard deviations, are 15.


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

In a standard normal distribution, approximately 95% of the data falls within two standard deviations (±2σ) of the mean (μ). This means that if you take the mean and add or subtract two times the standard deviation, you capture the vast majority of the data points. This property is a key aspect of the empirical rule, which describes how data is spread in a normal distribution.


I have two data sets with the same number of values with means x1 and x2 and standard deviations of n1 and n2. How do you average means with standard deviations?

You can't average means with standard deviations. What are you trying to do with the two sets of data?


What is the z-score of a value that is 2.08 standard deviations greater than the mean?

The z-score of a value indicates how many standard deviations it is from the mean. If a value is 2.08 standard deviations greater than the mean, its z-score is simply 2.08. This means the value lies 2.08 standard deviations above the average of the dataset.


What is 2 standard deviations?

2 times the standard deviation!


How many standard deviations is 19 from the mean?

That depends on what the standard deviation is.


What does STD devs stand for?

standard deviations


What percentage of scores falls between the mean and -2 to 2 standard deviations under the normal curve?

In a normal distribution, approximately 68% of scores fall within one standard deviation of the mean (between -1 and +1 standard deviations). About 95% of scores fall within two standard deviations (between -2 and +2 standard deviations). Therefore, the percentage of scores that falls specifically between the mean and -2 to 2 standard deviations is about 95% minus the 50% that is below the mean, resulting in approximately 45%.