Chi-square is a statistical test that detects whether an observed set of sample results are obtained by mere chance, or whether something other than chance is causing the data to vary. If the observed results sufficientl... More »

The Chi square statistic is the sum of the squared differences between the observed and expected frequencies divided by the expected frequencies. Chi square = Sum [(observed frequency - expected frequency)^2/expected fre... More »

To calculate the degrees of freedom for a chi-square test, first create a contingency table and then determine the number of rows and columns that are in the chi-square test. Take the number of rows minus one and multipl... More »

To calculate the sample variance of a population, first determine the mean of the sample, subtract each data point from the mean, square each resulting number, add all the squared results together, and then divide that n... More »

Statisticians use inferential statistics to reach conclusions that extend beyond the specific data studied, such as when using sample data to determine how a larger population might behave or respond to a specific stimul... More »

Meta-analysis is where data from multiple studies on the same subject are combined to give a greater overall data pool to establish results from. These combined results give better support to the statistical information ... More »

Percent deviation is a number calculated to determine the accuracy of data collected during an experiment compared to the theoretically expected results. Percent deviation is often used in student experiments to check fo... More »