Final answer:
Tracy should set up a null hypothesis stating the mean volume dispensed is 200 mL and an alternative hypothesis stating the mean volume is greater than 200 mL to perform a significance test.
Step-by-step explanation:
For Tracy's situation where she suspects her coffee express machine is dispensing more than the intended 200 mL of coffee per serving, the appropriate hypotheses for a significance test would be:
- Null Hypothesis (H0): The mean volume dispensed is equal to 200 mL, which can be written as µ = 200 mL.
- Alternative Hypothesis (H1): The mean volume dispensed is greater than 200 mL, which can be written as µ > 200 mL.
These hypotheses set up the basis for conducting a one-sample t-test or a z-test, depending on the known or unknown population standard deviation. Since Tracy is checking for a volume greater than the intended amount, it's a one-tailed test. She will collect the sample data and use statistical software or methods to determine if there is significant evidence to reject the null hypothesis.