The social scientist conducted a study among married couples to determine if the occurrence of conflicts is more likely during the full moon. The variable of interest is ______________ which is in the _____________ level of measurement. The social scientist employed the use of independent samples in obtaining the random sample of couples.   To answer the given objective, we can use the ______________. as the test procedure since ____________.. Then, we test the following set of hypotheses, Ho: _________________t. and Ha: ________________.. Considering the p-value equal to _________________, we can conclude that there is _______________. evidence to say that ________________.

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The social scientist conducted a study among married couples to determine if the occurrence of conflicts is more likely during the full moon. The variable of interest is ______________ which is in the _____________ level of measurement. The social scientist employed the use of independent samples in obtaining the random sample of couples.

 

To answer the given objective, we can use the ______________. as the test procedure since ____________.. Then, we test the following set of hypotheses, Ho: _________________t. and Ha: ________________.. Considering the p-value equal to _________________, we can conclude that there is _______________. evidence to say that ________________.

PROBLEM 3: Moonstruck!
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 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
Yes
No Total
On the day
Two weeks before
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
X-squared =
alternative hypothesis: less
0.13393, df = 1, p-value = 0.6428
Transcribed Image Text:PROBLEM 3: Moonstruck! 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 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 Yes No Total On the day Two weeks before 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 X-squared = alternative hypothesis: less 0.13393, df = 1, p-value = 0.6428
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