(a) Always begin data analysis with an appropriate plot of the data. Start with a side by side boxplot of soda consumption by gender. Include the plot here. (b) It's also a good idea to produce summary statistics of your data. Calculate the sample mean and sample variance for each gender. Include the output here. (c) Now for the hypothesis test - what are the null and alternative hypotheses? (d) Which test will you use, the t-test for independent or for dependent samples? What are the assumptions behind the test? Are they satised? (e) Run the test and paste the output here. (f) What conclusion do you reach? State the reasoning behind your conclusion and interpret your conclusion. (g) Calculate a 95% confidence interval for the difference pMenpWMEH between men and women in the % of their daily uid intake that is soda. Paste the output here. Interpret the confidence interval how does it elaborate upon the conclusion from the hypothesis test above