Title: Essay

Posted by Winnie Melda on March 27th, 2019

Chi-square goodness-of-fit test is a statistical test that tries to see whether a certain sample comes from a certain population or distribution. Two types of samples are involved in a chi-square goodness-of-fit test where the first sample is the observed data and the other one is the expected sample. The test determines whether the observed variables are close to the expected variables (Tanner, 2011). If expected and the observed variables are close, there is no need to reject the claim the sample came from the distribution. The Chi-square goodness-of-fit test is different from the independent t-test as the independent t-test testing the mean of the two unrelated groups on the same dependent variable. One can determine the test to use according to whether the variables are dependent or independent. A real example of the Chi-square goodness-of-fit test in action is the use of the tests to examine the number of customers according to their age visiting a given restaurant. The visitors are the variables and their ages are the categories.

Post 1:

The Chi-square goodness-of-fit test compares the observed count with the expected count. The Chi-square goodness-of-fit test can be explained using the shake flavors. The varieties serve as the population. Then, one can test the flavor that is appealing to the customers using the Chi-square goodness-of-fit test.

Post 2:

The chi-square test is made up of two different tests. Both the tests compare the count that is observed with the expected frequency. One of the tests is the Chi-square goodness-of-fit test that involves the use of only one variable and the other test is the chi-square test of independent that uses a number of categories.

Post 3:

The chi-square was developed by Pearson. The chi-square tests are used to test whether a certain data fits in a given category. A researcher can know when to use the Chi-square goodness-of-fit test according to the type of data presented. The test is used when data is nominal and fits in the same category (Tanner, 2011).

References:

Tanner, D. (2011). Statistics for the Behavioral & Social Sciences; San Diego, CA: Bridgepoint Education, Inc

Carolyn Morgan is the author of this paper. A senior editor at MeldaResearch.Com in write my nursing research paper services. If you need a similar paper you can place your order from essay already written services.