Attached is my work to this question, could someone please explain whether i have this correct, or if not, where ive gone wrong. also what else would need to be added to complete the question.

Comment on each table/graph as they relate to the assumptions that are being tested

(eg. describe if the image suggests the data is normally distributed and why) and then come to a conclusion about whether the assumption of homogeneity of variance and the assumption of normality have each been met or violated overall.

*each of these 2 assumptions are independent of the other. one can be violated when the other is not violated, vice versa.

Hint* answer should also refer to what the null hypothesis is for each of the numerical tests, whether this null hypothesis is accepted or rejected, and state the p value used to draw this conclusion.

Tests of Normality Kolmogorov-Smimov" Shapiro-Wilk Maternal smoking status Statistic dif Sig Statistic dif Sig. Birthweight (kg) Non-Smoker 147 26 157 902 26 017 Smoker 223 24 003 781 24 000145 3. Lilliefors Significance Correction Considering N for both the Non-Smoker and Smoker groups is less than 30, the Shapiro-Wilk test for normality is more appropriate for the data. Birthweight (kg) of the Non-Smoker group: Null Hypothesis Ho: The distribution of Birthweight (kg) of the Non-Smoker group is not significantly different to a normal distribution. Alternate Hypothesis HA: The distribution of Birthweight (kg) of the Non-Smoker group is significantly different to a normal distribution. Using the Shapiro-Wilk test for normality in Birthweight (kg) of the Non-Smoker group (a=0.05), p equals 0.017, (p