NOW WRITE INTERPRETATION IN THIS FORMAT. An introduction to the question (Example: "I am interested in examining if the average amount of times people visit the library as reported by the GSS sample differs from the mean amount of times people visit the library as reported by PBS, which is 5 times a week.") The variables you will be examining, and how they are measured (Example: "To answer this question, I examined data from the 2012 GSS on US adults, and looked at measures for how often people visited public libraries (reported as visits per week).") Your Null Hypothesis and your Research Hypothesis (Example: "My research hypothesis is that the average amount of times someone visits the public library as reported by the GSS data differs from the mean reported by PBS. My null hypothesis is that there is no difference between the GSS mean and the number reported by PBS.") Note: Not every test will need a research or null hypothesis. You need these for two scenarios: 1) You are comparing your data against a set value to see if it differs from that value; or 2) You are looking to see if a relationship exists between two variables. Steps taken to analyze the variables (Example: "To best analyze this data, I conducted a one-sample t-test, as I am comparing one sample (the GSS sample) to a specific number (the number reported by PBS) to see if a difference exists.") Charts and/or graphs, embedded into the answer or below the answer and clearly labeled in the interpretation (Example: "In viewing the Table #1, we can see that the p-value for the t-test is .004, indicating significance at the p < .01 level,") A discussion of all variables, with an emphasis on the most important data points -don't just list all data / numbers, but instead highlight the ones that are meaningful. (Example: "When we compare our sample t (t=14.36) to our critical t value (t=2.49), we can see that our sample t value falls beyond our critical t value and in our rejection region"). A clear statement of decision with regard to the null hypothesis (Example: "Based on this information, we would reject the null hypothesis and assert that the average amount of times people visit the library from the GSS differs from the mean amount of times people visit the library as reported by PBS. Our sample does not visit the library an average of 5 times per week.")