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How the formula of z obtained?
The formula for Z obtained is zobt equals the average of the sample (Xbar)minus the average of the population (u), divided b the standard deviation of the sample (s), divided be the square root of N. Example: Zobt= X-u ,divided by s ,divided by ,square root of N
What is differential statistics?
Differential statistics are statistics that use calculus. Normally statistics would use algebra but differential statistics uses calculus instead of algebra.
Example of a class size in statistics?
25-30 in a class in statistics
The mean median and mode are examples of what type of statistics?
descriptive statistics
Mathematician who contributed to the developments of statistics?
John Graunt created population statistics.
What is the Formula for sample deviation?
I believe you want the equation to calculate the standard deviation of a sample. The equation is: s = square root[ sum from i =1 to n of (xi- xbar)/(n-1)] where xbar is the average of values of the sample and n = size of sample.
Formula for s in statistics?
s=sample standard deviation s=square root (Sum(x-(xbar))2 /(n-1) Computing formula (so you don't have to find the mean and the distance from the mean over and over): square root(Sxx /(n-1)) Sxx= Sum(x2) - ((Sum(x))2/n)
Formula for z-test?
The z score is calculated from the distance of a value from the distribution center divided by the standard dev. (x-xbar)/st. dev
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How do you calculate the parameter to a 99.9 confidence interval using mean and standard deviation?
Did you mean, "How do you calculate the 99.9 % confidence interval to a parameter using the mean and the standard deviation?" ? The parameter is the population mean μ. Let xbar and s denote the sample mean and the sample standard deviation. The formula for a 99.9% confidence limit for μ is xbar - 3.08 s / √n and xbar + 3.08 s / √n where xbar is the sample mean, n the sample size and s the sample standard deviation. 3.08 comes from a Normal probability table.
How do you use the formula of measure in statistics?
There is no specific formula for measure - in statistics or any other branch of mathematics.
Can any set of normally distributed data be transformed to its standarized form?
Yes. The transform is z= (x-xbar)/s where x is the data value, xbar is the mean of the data and s is the standard deviation.
If you select a large enough sample size can you reject any null hypothesis?
The simple answer is no. This depends on a lot of factors such as alpha which determines the critical value and the absolute value of the difference between the claim and sample data. Mathematically speaking, all things being equal, the larger the sample size the larger the absolute value of the test statistic. The formula for the test statistic mean with sigma known is shown below. You can substitute values in and perform the mathematics. The larger the sample size, the larger the Z value; but note if the numerator is small, even a small denominator will not produce a large Z value. In fact, the numerator could be zero which would make the test statistic zero. Z = (Xbar - μxbar)/(σ/√n) (formula from Elementary Statistics by Mario F. Triola)
How the formula of z obtained?
The formula for Z obtained is zobt equals the average of the sample (Xbar)minus the average of the population (u), divided b the standard deviation of the sample (s), divided be the square root of N. Example: Zobt= X-u ,divided by s ,divided by ,square root of N
What is the Z score formula for statistics?
z=x-mean / sd
Difference between estimate estimator?
I think, the estimate is a numerical value, wile the estimator is a function or operator, which can be generate more estimates according to some factors. For example (xbar) is estimator for (meu), which can be various when the sample size in various, the value that will be produced is an (estimate), but (xbar) is estimator.
Equal sign in a statistics formula?
It has the same meaning as an equals sign anywhere else in mathematics.
