Chi Square. This is why it is also known as the goodness of fit test. The data used in calculating a chi square statistic must be random raw mutually exclusive drawn.
In probability theory and statistics the chi square distribution also chi squared or χ2 distribution with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables. The chi square test is used to check how well the observed values for a given distribution fits with the distribution when the variables are independent. Pearson s chi squared test is used to determine whether there is a statistically significant difference between the expected frequencies and the.
The results are in.
The chi square test is used to check how well the observed values for a given distribution fits with the distribution when the variables are independent. In probability theory and statistics the chi square distribution also chi squared or χ2 distribution with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables. The results are in. σ means to sum up see sigma notation o each observed actual value.
