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If a set of data has 100 points and a variance 4 then what is the standard deviation?
Standard deviation is the square root of the variance. Since you stated the variance is 4, the standard deviation is 2.
How large a sample would be needed to have a standard error less than 2 points for population with a standard deviation of 20?
A sample of size 100.
How do I find the Z score for tests with mean of 100 and a standard deviation of 20?
Z = (x-mu)/sigma. So, for your example, any x value can be transformed to Z-score by the formula Z = (x-100)/20.
What is the probability of scoring 115 when mean is 100 and standard deviation is 15?
The probability of scoring an exact value for a continuous variable is zero for any value. The probability of scoring 115 (or more) is 15.87%
How do I write ''Forty Hundredths'' in standard Form?
To write "Forty Hundredths" in standard form, you need to convert the fraction into a decimal. "Forty Hundredths" is the same as 40/100. When you simplify 40/100, you get 0.40. Therefore, "Forty Hundredths" in standard form is 0.40.
If a set of data has 100 points and a variance 4 then what is the standard deviation?
Standard deviation is the square root of the variance. Since you stated the variance is 4, the standard deviation is 2.
If a set of data has 100 points and variance 4 then the standard deviation is?
The SD is 2.
If the Mean equals 100 variance equals 40 and sample size equals 10 what is the standard deviation?
6.3
What is the standard deviation of 57312725112532100?
If you've computed the variance of a statistic that is 57312725112532100 then the standard deviation is the positive square root of itGoogle calc--->sqrt(57 312 725 112 532 100) = 239 400 763
What are the standard deviation and variance of the blood glucose levels of six patients whose BGLs are 70 80 90 100 95 and 120?
The variance is 247.9. The StDev. is the square root of the variance: 15.75. See http://www.mathsisfun.com/standard-deviation.htmlfor an easy-to-understand discussion of StDev and Var.
If all students in a class scored 100 on an exam what is the standard deviation?
Standard deviation is 0.
The population standard deviation is 100?
It can be.
What does a negative profit variance mean?
From a statistical sense, variance is basically a measure of how spread out the data is from the mean (center) observation. For example, if a company has a mean profit of $100 from all their sales, then we might compute the variance which say for sake of argument is $16. Then what we would do is use the variance number and take the square root to find what is called the standard deviation. In this case the standard deviation would be $4. (The square root of $16). Then we could say that we are 68% sure that the true profit is within the range of the mean plus or minus the standard deviation. In our example, we would have the range as being 100-4=96 to 100+4=104. So we can say that we are 68% sure that the true profit is within ($96, $104) This could be extended further for more confidence... This is just an example of how we use variance. Just think of it as spread. As for negative profit variance..I think that would simply mean that we are looking at loses. It would be similar to above example, example that our average would be -$100 instead.
What is the sample variance and the estimated standard error for a sample of n 4 scores with SS 300?
The sample variance is obtained by dividing SS by the degrees of freedom (n-1). In this case, the sample variance is SS/(n-1) = 300/(4-1) = 300/3 = 100 In order to get the standard error, you can do one of two things: a) divide the variance by n and get the square root of the result: square.root (100/4) = square.root(25) = 5, or b) get the standard deviation and divide it by the square root of n. 10/square.root(4) = 10/2 = 5
What is the standard error if the population standard deviation is 100 and the sample size is 25?
Formula for standard error (SEM) is standard deviation divided by the square root of the sample size, or s/sqrt(n). SEM = 100/sqrt25 = 100/5 = 20.
Lets assume you have taken 100 samples of size 36 each from a normally distributed population Calculate the standard deviation of the sample means if the populations variance is 25?
square (25/36) = 5/6 = .833
If standard deviation 20 and sample size is 100 then standard error of mean is?
2
