Q:
# What Is Chi-Square?

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 sufficiently deviate from what is statistically expected, the calculated chi-square is statistically significant.

Continue ReadingChi-square is calculated by subtracting each expected result from each observed result, squaring the difference and dividing each squared difference by its corresponding expected result. The numbers at the end of this process are all summed to obtain the chi-square statistic, which is then compared to critical values on a chi-square table. A significant chi-square means that the observed results were not obtained due to chance variation in the data.

Learn more about Statistics-
Q:
## What Is Meta-Analysis?

A: 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 com... Full Answer >Filed Under: -
Q:
## What Are the Main Steps in Statistical Investigation?

A: The main steps utilized in a statistical investigation include four components: clarifying the problem and formulating questions or hypotheses that can be ... Full Answer >Filed Under: -
Q:
## What Is the Difference Between a T-Test and a Chi-Squared Test?

A: A t-test is designed to test a null hypothesis by determining if two sets of data are significantly different from one another, while a chi-squared test te... Full Answer >Filed Under: -
Q:
## What Is the Difference Between Parametric and Non-Parametric Tests?

A: A parametric test is used on parametric data, while non-parametric data is examined with a non-parametric test. Parametric data is data that clusters aroun... Full Answer >Filed Under: