Descriptive Statistics Std. N Minimum Maximum Mean Deviation Type_of_Fish 50 H 3 2.02 .820 Valid N (listwise) 50\fType_of Fish Cumulative Frequency Percent Valid Percent Percent Valid Atlantic Cod 16 29.6 32.0 32.0 Acadian Redfish 17 31.5 34.0 66.0 Atlantic Lobster 17 31.5 34.0 100.0 Total 50 92.6 100.0 Missing System 4 7.4 Total 54 100.0Type_of_Fish Observed N Expected N Residual Atlantic Cod 16 16.7 -.7 Acadian Redfish 17 16.7 .3 Atlantic Lobster 17 16.7 .3 Total 50Test Statistics Type_of_Fish Chi-Square .040 df 2 Asymp. Sig. .980 a. 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 16.7.The chi-square goodness of t test is used to determine if data from a sample are really distributed as theyr are expected to be. This test can yield valuable information regarding whether or not sample data are consistent with what is expected. It can also be used to help determine if a sample is an accurate reection of the corresponding population. Comparing Species of Fish For this assignment, you will use the chi-square goodness of t test to determine if the proportion of sh species in one location is consistent with that of the surrounding area. The total sh population in the larger area is known to be equal {remember, this means equal expected proportions}. Using the attached dataset, conduct a chi'sq Liare goodness of t test with SPSS. Then create a report in which you address the following: . Present your chi-sq uare goodness of t test ndings. - Interpret these findings in relation to this example. Explain whether the sample exhibits an equal distribution or not. and how you know. Be sure to include p-yalue. . Describe another example of a situation in which the chi-square goodness of t test could be helpful