You, recently participated in an experiment to test theeffectiveness of saturation patrol on residential burglaries. Priorto the experiment there were two neighborhoods (both about the samesize) in your city with an equal number of residential burglaries.Burglaries in these neighborhoods were inordinately high. Prior tothe experiment both neighborhoods had the same number of patrolofficers assigned to them across all shifts. The captain assignedtwice the normal number of patrol officers to work in NeighborhoodA (i.e. saturation patrol) in an effort to deter future burglaries.The captain did not change the normal number of patrol officers towork in Neighborhood B. At the end of six weeks the number ofresidential burglaries decreased in Neighborhood A but remained thesame in Neighborhood B. The chief wants to know if the differencein residential burglaries between these two neighborhoods isstatistically significant, i.e. not due to change. Answer thefollowing questions. 1. What is the independent variable in thisexperiment? 2. At what level (nominal, ordinal or scale) is theindependent variable measured? 3. What is the dependent variable inthis experiment? 4. At what level (nominal, ordinal or scale) isthe dependent variable measured? 5. What is the null hypothesis forthis experiment? 6. What is the alternative (research) hypothesisfor this experiment? 7. What type of hypothesis (difference orassociation) is the alternative (research) hypothesis? 8. Which ofthe statistical techniques that you have learned so far (Chi-Squareor t-test) would be the most appropriate to analyze the data inthis experiment?