Suzie gets access to a large data set containing data on 4 million americans who have shopped at Walmart in the last 24 hours. The data set contains data on the participants sex (male, female), the price of their vehicle in dollars, their credit score (100-900), visible discomfort in store (1-10), the amount purchased in store, the price of their shoes in dollars, their rating of an in store announcement on its influence on their purchasing decisions (1-20), and the level of attention they paid to the advertisement as rated by eye tracking on local cameras (0-100). While exploring the data Suzie initially found that discomfort in the store predicted lower amount purchased in store. She hypothesized that this relationship would weaken or disappear if she showed that discomfort in store predicted less attention paid to the advertisement, then less attention to the advertisement predicted less influence of the advertisement on their purchasing decisions, and this lessened influence predicted less amount purchased in store. What is the most specific inferential statistic Suzie should use to gather evidence for this hypothesis? a. Power Analysis b. Chi Square Test c. t-test d. one-tailed t-test e. two-tailed t-test f. ANOVA g. Cohen's d