A very large contribution to profits for a movie theater is the sale of popcorn, soft drinks, and candy. A movie theater manager speculated that the longer the time between showings of a movie, the greater the sales of concessions. For a month, the manager systematically varied the time between movie showings and calculated the sales. The slope of the sample was found to be 19.06 with a standard error of 11.42, resulting in a t-value of 1.67 and a printed (two-tail) p-value of 0.1045. Based on these data:
1. What is the null hypothesis, in symbols?
2. What is the null hypothesis, in words?
3. What is the alternative hypothesis, in symbols?
4. What is the alternative hypothesis, in words?
5. What is the name of the appropriate statistical test?
6. Based on these data, do you accept HA setting (α = 0.05)? (N/Y) , Why/why not?
7. What conclusion (understandable to a layman) do you conclude about the question of interest?