**Know How to Troubleshoot Chi-Squared Statistics Related Problems. | 24x7assignmenthelp.Com**

Chi-square statistics are used to measure the homogeneity of a group. It tallies between two independent groups or categories. In the chi-square test, the square of observed and expected frequency is divided by expected frequency.

The Chi-square formula is –

**c**_{c}^{2}**= ****S**** (O _{i} – E_{i})^{2}**

**E _{i}**

‘K’ is the constant here.

There are three types of Chi-square calculation according to the data provided. They are:

- Contingency Table
- Goodness of Fit
- Test of Independence

In **Chi-Squared Statistics Homework Help**, you can observe that there are two categorical variables the calculation deal with. One is numerical and the other is non-numerical. A high value in this test marks there is a high relation between two data sets.

Before working on Chi-squared statistics, you have to convert all the given percentage, ratios and means to numerical values.

**Importance of Chi-Square Statistics**

Suppose that, a Health drink company has published a report on the growth rate of two groups of children. Health drink is provided to one group only. Here, a difference occurs and that is measured by Chi-square test.

Students often face difficulty to do such assignment, as they have to work with a large number of data. To make it easy, **Chi Squared Statistics Assignment Help **provides the solution by making a table.

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Chi-square test permits us to examine ascertained and expected frequencies. All the collected observations should be independent of one another to get a desirable result. One should also work with exclusive category and a comprehensive list of categories.

It has the following applications in statistics.

- Testing the hypothetical value
- Testing homogeneity, goodness of fit and contingency
- Combining various results to get an ultimate outcome

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