a.) What is the appropriate test procedure to be used? b.) What are the set of hypotheses? c.) Considering the p-value, would their be sufficient or insufficient evidence that a particular behavior will indeed occur more often during the full moon?

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a.) What is the appropriate test procedure to be used? b.) What are the set of hypotheses? c.) Considering the p-value, would their be sufficient or insufficient evidence that a particular behavior will indeed occur more often during the full moon?
The most widely believed myth about the full moon is that it causes strange behavior. A social scientist
conducted a study to determine if a particular behavior will indeed occur more often during the full moon. Two
weeks before the full moon in April, 15 couples residing in Luna Condominium were randomly selected and
asked to observe if they were engaged in a conflict on that day. They were also monitored through CCTV to
verify their reported behavior. On the day of the full moon, another random sample of 15 couples residing in the
adjacent condominium building were also asked to observe if they were engaged in a conflict. Their reports
were also verified through CCTV.
Consider di = Xday – Xtwoweeks Where Xday is the number of couples who were engaged in a conflict on the day of
the full moon and Xtwoweeks is the number of couples who were engaged in a conflict two weeks before the full
moon.
R COMMANDER OUTPUT #3.1
Frequency table:
fight
full.moon
On the day
Two weeks before
Yes
No Total
9.
6
15
7
8
15
R COMMANDER OUTPUT #3.2
X-squared = 0.13393, df = 1, p-value = 0.7144
alternative hypothesis: two.sided
X-squared = 0.13393, df = 1, p-value = 0.3572
alternative hypothesis: greater
= 0.13393, df = 1, p-value = 0.6428
X-squared
alternative hypothesis: less
Transcribed Image Text:The most widely believed myth about the full moon is that it causes strange behavior. A social scientist conducted a study to determine if a particular behavior will indeed occur more often during the full moon. Two weeks before the full moon in April, 15 couples residing in Luna Condominium were randomly selected and asked to observe if they were engaged in a conflict on that day. They were also monitored through CCTV to verify their reported behavior. On the day of the full moon, another random sample of 15 couples residing in the adjacent condominium building were also asked to observe if they were engaged in a conflict. Their reports were also verified through CCTV. Consider di = Xday – Xtwoweeks Where Xday is the number of couples who were engaged in a conflict on the day of the full moon and Xtwoweeks is the number of couples who were engaged in a conflict two weeks before the full moon. R COMMANDER OUTPUT #3.1 Frequency table: fight full.moon On the day Two weeks before Yes No Total 9. 6 15 7 8 15 R COMMANDER OUTPUT #3.2 X-squared = 0.13393, df = 1, p-value = 0.7144 alternative hypothesis: two.sided X-squared = 0.13393, df = 1, p-value = 0.3572 alternative hypothesis: greater = 0.13393, df = 1, p-value = 0.6428 X-squared alternative hypothesis: less
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