provide a 75 word response to The data suggests that the distribution of passengers is normal and can be relied upon. Through using the chi-square goodness of fit test, the data shows that the chi-square statistic, 5.4768, is lower than the chi-square critical value, 15.5073. To achieve that result, all of the data first needed to be placed into a bin. From there the data can be split up into frequencies of each bin and evaluated for consistency. The chi-square goodness of fit test uses the information from those bins and calculates the normal distribution for all bins which we then can separate out for each bin's probability. That will allow for the expected frequency to be found. With the observed frequency data and the expected frequency data the chi-square calculation can be performed for each bin. This is a good method to check the normal distribution of a data set by using a given data set and comparing it to the probable or expected outcome of that data. In this example, the distribution of the data set is normal. The chi-square test of goodness of fit works for normal distributed data. If the data is not normally distributed, then the best route is to use a tool that is better suited for the job, such a as the Wilcoxon rank-sum test or the Kruskal-Wallis test (Normal vs, n.d.). Those tests are better suited to handle situations where the data is not ideally distributed from the mean. Although data can be translated into normal distribution by the use of logarithms or