I would like to conduct a hypothesis test at the 95% significance level that people with master's degree spend more money on good, quality or healthy food as indicated with survey score of 3.

Education	Rating	Count surveyed
college/bachelor's degree	3.59	211
currently a primary school pupil	3.70	10
doctorate degree	3.40	5
master's degree	3.68	81
primary school	3.40	80
secondary school	3.55	621

PLEASE EXPLAIN THE FOLLOWING QUESTIONS:

1) Write the null hypothesis/alternative hypotheses below for the hypothesis test you would like to carry out based on the data. Determine the tail type. Also include your desired confidence level.

2) Perform the hypothesis test. You'll need to do something similar to what you did in the other parts, with one major difference. Since you're performing a test on a sampling distribution, you'll need to use the T-Statistic.

3) Were you able to reject the null hypothesis. What was the p-value associated with your test? In terms of this sampling distribution, what population does it represent? All young people ages 15-30? Or some other population? Explain why.