1. In the dataset (Spring_Dataset.xls), the variable Sprint is the respondent's time (in seconds) to sprint a given distance, and Smoking is an indicator about whether or not the respondent smokes (0 = Nonsmoker, 1 = Past smoker, 2 = Current smoker).

Let's use ANOVA to test if there is a statistically significant difference in sprint time with respect to smoking status. Sprint time will serve as the dependent variable, and smoking status will act as the independent variable.

1. Descriptive Statistics table i.e. means, counts and standard deviation of each group-Done
2. Interpretation of descriptive statistics table
3. Simple Boxplot of the groups median sprint time-Done
4. Interpretation of the Simple Boxplot
5. One-way ANOVA table-Done
6. Means plot chart-Done
7. Conclusion drawn from the ANOVA table

\f\fDescriptives Sprint 95% Confidence Interval for Mean Std. Lower Upper N Mean Deviation Std. Error Bound Bound Minimum Maximum N- O 261 6.41149 1.251783 077483 6.25891 6.56406 4.503 9.597 33 6.83533 1.024415 .178328 6.47209 7.19858 4.889 8.549 59 7.12092 1.083500 . 141060 6.83855 7.40328 5.295 9.475 Total 353 6.56968 1.233839 065671 6.44053 6.69884 4.503 9.597\f