Provide a 65 word response to the following; The passenger data is normally distributed. The descriptive analysis was completed. I developed a histogram to visually interpet the data set. I tested the chi-squared goodness of fit. All show ways of testing normality. The Chi-Square Test of Goodness of Fit is used to compare categorical data and theoretical distribution. It helps understand if the observed data deviates from the expected distribution. The following explains how it works. A null hypotheseis assumes there is no signification difference between observed and expected frequencies. An alternative hypothesis assumes these is a significant difference. To calculate expected frequencies, use the theoretical distribution and calculate the expected frequency for each category. Calculating the chi-squared status is done by copmaring the observed and expected frequencies. If the data does not meet the assumptions of the Chi-Squared Test, alternative approaches suitable for small sample sizes should be considered. It is essential to consider other factors like sample size and expected frequencies to ensure test results