Match the following scenarios with the analysis technique best suited for the scenario. Scenario:
A passenger airplane manufacturer wants to determine the average passenger weight (including luggage). They decide to randomly select a given number of passengers and weigh them and their luggage together. They need to know how many passengers they must weigh to obtain an estimate of weight that is within 1 kg of the mean weight of all passengers. [ Choose ] Several engineers consult with cooks at America's Test Kitchen; this is a group that redesigns recipes to obtain the best possible food. They are determining how to create the best Christmas fruitcake. Several factors are considered: oven temperature, amount of candied fruit rinds, amount of baking soda, and number of days left out on the counter after baking. The cooks run an experiment for each combination of high and low values of these factors; the response variable is a rating of the quality of the Christmas fruitcake by a panel of 90 year old grandmas. The engineers then do a statistical analysis that provides a model of how these factors affect the fruitcake rating.

a. Experimental Design
b. Confidence Interval on the Mean
c. ANOVA
d. Linear Regression
e. Paired t-test
f. Hypothesis Test on the Mean-Variance