Kindly answer the following problem:

Popular legend has it that the full moon brings out the worst in people. The full moon has been linked to crime, suicide, mental illness, disasters, accidents, fertility, and even werewolves. Do you believe that the full moon influences human behavior? The influence of the moon on human behavior has been called "The Lunar Effect.' The most widely believed myth about the full moon is that it causes strange behavior. A social scientist conducted a study to determine if there would be a difference in behavior on a full moon compared to a regular day. Two weeks before the full moon in November, 15 couples residing in Luna Condominium were randomly selected and asked to observe if they had a conflict on that day. They were also monitored through CCTV to verify their reported behavior. On the day of the full moon, the same set of couples was again asked to observe if they had a conflict. Their reports were also verified through CCTV. Consider di = Xfullmoon - Xregular Where Xfullmoon is the number of couples who were engaged in a conflict on the day of the full moon and Xregular is the number of couples who were engaged in a conflict two weeks before the full moon. R COMMANDER OUTPUT #3.1 R COMMANDER OUTPUT #3.2 Frequency table: Regular McNemar's Chi-squared test Full Moon None Conflict with continuity correction None McNemar's chi-squared = 0.25, Conflict df - 1, p-value = 0. 6171 R COMMANDER OUTPUT #3.3 2-sample test for equality of proportions with continuity correction X-squared = 0.53571, df = 1, p-value = 0. 4642 alternative hypothesis: two. sided X-squared = 0.53571, df = 1, p-value = 0.7679 alternative hypothesis: greater X-squared = 0.53571, df = 1, p-value = 0.2321 alternative hypothesis: lessThe social scientist conducted a study among married couples to determine if there is a difference in behavior of couples during a full moon. The social scientist employed the use of (independent or related) samples in obtaining the random sample of couples. The appropriate test procedure to analyze the given data is the With a p-value equal to , this indicates that there is (sufficient or no sufficient) evidence to say that