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Nishan Poojary
Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Udupi
Nishan Poojary has created this Calculator and 400+ more calculators!
Mona Gladys
St Joseph's College (St Joseph's College), Bengaluru
Mona Gladys has verified this Calculator and 400+ more calculators!

11 Other formulas that you can solve using the same Inputs

Pooled sample standard deviation
Pooled sample standard deviation=sqrt(((sample size 1-1)*(Standard Deviation^2))+((Sample size 2-1)*(Standard Deviation^2)))/(sample size 1+Sample size 2-2) GO
Pooled sample proportion
Sample proportion=((Population proportion*sample size 1)+(Population proportion 2*Sample size 2))/(sample size 1+Sample size 2) GO
Standard normal variation
Standard normal variation=(Normal variate-Expected value)/Standard Deviation GO
Standard error
Residual standard error=Standard Deviation/sqrt(Number of samples) GO
Standard deviation of mean
Standard deviation of mean=Standard Deviation/sqrt(sample size 1) GO
Mean Using Coefficient Of Variation
Mean of data=Standard Deviation/Coefficient of variation GO
Sample Coefficient Of Variation
Coefficient of variation=Standard Deviation/Mean of data GO
Standard score
Z-score=(value of n-Mean of data)/Standard Deviation GO
Z-Score
Z-score=(Value of A-Mean of data)/Standard Deviation GO
Mean Using Z-Score
Mean of data=Value of A-Z-score*Standard Deviation GO
Variance Of Data
Variance=(Standard Deviation)^2 GO

Chi_square statistics Formula

Chi square statistic=sqrt((sample size 1-1)*Standard Deviation^2)/Standard deviation 2
X=sqrt((n1-1)*σ^2)/SD2
More formulas
Mean Of Data GO
Median Of Data GO
Mode Of Data GO
Standard Deviation Of Data GO
Variance Of Data GO
Mid Range Of Data GO
Maximum Value Of Data Using Mid Range GO
Number Of CLasses Using Class Width GO
Minimum Value Of Data Using Mid Range GO
Relative Frequency Of A Category GO
Frequency Of Category GO
Sum Of All Frequency GO
Class Width GO
Maximum Value Of Data Using Class Width GO
Minimum Value Of Data Using Class Width GO
Range Of Data GO
Maximum Value Using Range GO
Residual Standard Error GO
Residual Sum Of Squares GO
Number Of Observation GO
Proportion Of Variance GO
Total Sum Of Squares Using Proportion Of Variance GO
Residual Sum Of Squares Using Proportion Of Variance GO
p Value GO
Total Sum Of Squares Using P Value GO
Residual Standard Error Using P Value GO
Number Of Observations Using P Value GO
F Statistics GO
Z-Score GO
Mean Using Z-Score GO
Standard deviation Using Z-score GO
Variance Using Z-Score GO
Sample Coefficient Of Variation GO
Mean Using Coefficient Of Variation GO
Standard error GO
Standard error of proportion GO
Standard score GO
Pooled sample proportion GO
Pooled sample standard deviation GO
Standard deviation of mean GO
Standard deviation of difference of mean GO
Variance population proportion GO
Regression slope interrupt GO
Regression coefficient GO
Regression coefficient when mean is given GO
Value of proportion. GO
Standard error of difference of proportion GO
Standard error of difference of sample mean GO
Margin of error GO
Margin of error when standard error is given GO
Combined mean GO
Mode given mean and median GO
Median given mean and mode GO
Mode of frequency GO
Range GO
coefficient of range GO
Quartile deviation GO
Coefficient of quartile deviation GO
Coefficient of mean deviation of mean GO
Coefficient of mean deviation of median GO
Coefficient of standard deviation GO
Coefficient of variance GO
Variance of population proportion given probability of success GO
Sample mean GO
Simple linear regression line GO
Expected value of sum of random variables GO
Expected value of difference of random variables GO
Variance of sum of independent random variable GO
Variance of difference of independent random variable GO
Variance of population GO
Population mean GO
Probability of success GO
Probability of failure GO
Sample standard deviation GO
Sample variance GO
Proportionate stratified sampling GO

What is statistics?

Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied.

How to Calculate Chi_square statistics?

Chi_square statistics calculator uses Chi square statistic=sqrt((sample size 1-1)*Standard Deviation^2)/Standard deviation 2 to calculate the Chi square statistic, The Chi_square statistics formula is to be used when we select a random sample of size n from a normal population, having a standard deviation equal to σ. We find that the standard deviation in our sample is equal to s. Given these data, we can define a statistic, called chi-square. Chi square statistic and is denoted by X symbol.

How to calculate Chi_square statistics using this online calculator? To use this online calculator for Chi_square statistics, enter sample size 1 (n1), Standard Deviation (σ) and Standard deviation 2 (SD2) and hit the calculate button. Here is how the Chi_square statistics calculation can be explained with given input values -> 40.62534 = sqrt((100-1)*40.83^2)/10.

FAQ

What is Chi_square statistics?
The Chi_square statistics formula is to be used when we select a random sample of size n from a normal population, having a standard deviation equal to σ. We find that the standard deviation in our sample is equal to s. Given these data, we can define a statistic, called chi-square and is represented as X=sqrt((n1-1)*σ^2)/SD2 or Chi square statistic=sqrt((sample size 1-1)*Standard Deviation^2)/Standard deviation 2. sample size 1 is the size of the sample population 1, The Standard Deviation is a measure of how spread out numbers are and Standard deviation 2 is the standard deviation of the sample 2.
How to calculate Chi_square statistics?
The Chi_square statistics formula is to be used when we select a random sample of size n from a normal population, having a standard deviation equal to σ. We find that the standard deviation in our sample is equal to s. Given these data, we can define a statistic, called chi-square is calculated using Chi square statistic=sqrt((sample size 1-1)*Standard Deviation^2)/Standard deviation 2. To calculate Chi_square statistics, you need sample size 1 (n1), Standard Deviation (σ) and Standard deviation 2 (SD2). With our tool, you need to enter the respective value for sample size 1, Standard Deviation and Standard deviation 2 and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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