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Matrimonial Unrest
Jonathan Hrichison
Christian Makuza
Julia Tran
Matrimonial Unrest
 Mr. & Mrs. Hartford
 Newly married
 Having numerous fights
 Unsure as to the cause(s)
 Visits a team of a psychologist and a marriage
counselor
 Collect data of various events that may trigger
fights
Matrimonial Unrest
 Potential factors for a fight:
 Number of calories consumed
 Number of hours of sleep the night before
 Bad day at work
 School the next day
 Number of cups of coffee consumed that day
 Uncomfortable symptoms of PMS that day
 Bills paid that day
Matrimonial Unrest
 Hypothesis Testing
 Define the hypothesis
 Null hypothesis
 States the obvious
 Alternative hypothesis
 Bears the burden of proof
 Calculate the test statistic
 Make a decision
 If the sample mean is close to the assumed population
mean, do not reject the null hypothesis
 If the sample mean is far from the assumed population
mean, reject the null hypothesis
One Sample Hypothesis Testing
n > 30
 m : =AVERAGE()
 s : =STDEV()
 zOBS : =STANDARDIZE(x,m, s/SQRT(n))
 zCRIT : =NORMSINV(1-a/# of tails)
 p-value : =(# of tails) * (1-
NORMSDIST(ABS(zOBS)))
One Sample Hypothesis Testing
n < 30
 m : =AVERAGE()
 s : =STDEV()
 tOBS : =STANDARDIZE(x,m, s/SQRT(n))
 tCRIT : =TINV(2a/# of tails,df)
 p-value : TDIST(ABS(tOBS)),df, # of tails)
Not Enough Sleep
 Null: m <= .267 – Not enough sleep (less than
7 hours) does not lead to more fights.
 Alternative: m > .267 – Not enough sleep (less
than 7 hours) does lead to more fights.
Not Enough Sleep
 Hypothesized Value = .267
 Sample Mean = .262
 Standard Deviation = .445
 Sample Size = 42
 Do not Reject the Null
 zOBS = (.073)
 zCRIT = 1.645
 P-value = .471
 a-level = .05
Not Enough Sleep
 Null: m <= .267 – Not enough sleep (less than
6 hours) does not lead to more fights.
 Alternative: m > .267 – Not enough sleep (less
than 6 hours) does lead to more fights.
Not Enough Sleep
 Hypothesized Value = .267
 Sample Mean = .250
 Standard Deviation = .447
 Sample Size = 16
 Do not Reject the Null
 tOBS = (.152)
 tCRIT = 1.753
 P-value = .441
 a-level = .05
Bills Paid That Day
 Null: m <= .267 – Bills paid that day does not
lead to more fights.
 Alternative: m > .267 – Bills paid that day does
lead to more fights.
Bills Paid That Day
 Hypothesized Value = .267
 Sample Mean = .333
 Standard Deviation = .516
 Sample Size = 6
 Do not Reject the Null
 tOBS = .313
 tCRIT = 2.015
 P-value = .383
 a-level = .05
PMS Symptoms That Day
 Null: m <= .267 – PMS Symptoms that day
does not lead to more fights.
 Alternative: m > .267 – PMS Symptoms that
day does lead to more fights.
PMS Symptoms That Day
 Hypothesized Value = .267
 Sample Mean = .600
 Standard Deviation = .516
 Sample Size = 10
 Reject the Null
 tOBS = 2.041
 tCRIT = 1.833
 P-value = .036
 a-level = .05
A Bad Day at Work
 Null: m <= .267 – A bad day at work does not
lead to more fights.
 Alternative: m > .267 –A bad day at work does
lead to more fights.
A Bad Day at Work
 Hypothesized Value = .267
 Sample Mean = .500
 Standard Deviation = .519
 Sample Size = 14
 Do not Reject the Null
 tOBS = 1.680
 tCRIT = 1.771
 P-value = .059
 a-level = .05
Too Much Coffee
 Null: m <= .267 – Too much coffee (2+) does
not lead to more fights.
 Alternative: m > .267 – Too much coffee (2+)
does lead to more fights.
Too Much Coffee
 Hypothesized Value = .267
 Sample Mean = .364
 Standard Deviation = .492
 Sample Size = 22
 Do not Reject the Null
 tOBS = .925
 tCRIT = 1.721
 P-value = .183
 a-level = .05
School the Next Day
 Null: m <= .267 – School the next day does not
lead to more fights.
 Alternative: m > .267 – School the next day
does lead to more fights.
School the Next Day
 Hypothesized Value = .267
 Sample Mean = .300
 Standard Deviation = .470
 Sample Size = 20
 Do not Reject the Null
 tOBS = .314
 tCRIT = 1.729
 P-value = .378
 a-level = .05
Conclusions
 As the psychologist
 Not enough sleep (7 hours)
 |OBS|< CRIT and P-value > α-level
 We do not reject the null hypothesis, meaning less than 7
hours of sleep does not trigger the fights.
 Not enough sleep (6 hours)
 |OBS|< CRIT and P-value > α-level
 We do not reject the null hypothesis, meaning less than 6
hours of sleep does not trigger the fights.
Conclusions
 A bad day at work
 |OBS|< CRIT and P-value > α-level
 We do not reject the null hypothesis, meaning that a bad
day at work does not necessary lead to a fight.
 Bills paid that day
 |OBS|< CRIT and P-value > α-level
 We do not reject the null hypothesis, meaning that when
bills were paid that day it does not necessary lead to a
fight.
Conclusions
 School the next day
 |OBS|< CRIT and P-value > α-level
 We do not reject the null hypothesis, meaning that having
school the next day does not lead to a fight.
 As a marriage counselor
• Too much coffee (2 +)
 |OBS|< CRIT and P-value > α-level
 We do not reject the null hypothesis, meaning that drinking
too much coffee does not lead to a fight.
Conclusions
 PMS symptoms
 |OBS|> CRIT and P-value < α-level
 We reject the null hypothesis, meaning that there is enough
evidence to say that PMS symptoms lead to fights.
Recommendations
 Talk to a specialist on how to deal with PMS
symptoms.
 More thorough analysis of the relationship.
 Combination of 2 or more factors may be the
cause so more calculations are needed.
 As a last resort: they are not meant for each
other >>>> Get a good lawyer!!!

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Matrimonial Unrest

  • 2. Matrimonial Unrest  Mr. & Mrs. Hartford  Newly married  Having numerous fights  Unsure as to the cause(s)  Visits a team of a psychologist and a marriage counselor  Collect data of various events that may trigger fights
  • 3. Matrimonial Unrest  Potential factors for a fight:  Number of calories consumed  Number of hours of sleep the night before  Bad day at work  School the next day  Number of cups of coffee consumed that day  Uncomfortable symptoms of PMS that day  Bills paid that day
  • 4. Matrimonial Unrest  Hypothesis Testing  Define the hypothesis  Null hypothesis  States the obvious  Alternative hypothesis  Bears the burden of proof  Calculate the test statistic  Make a decision  If the sample mean is close to the assumed population mean, do not reject the null hypothesis  If the sample mean is far from the assumed population mean, reject the null hypothesis
  • 5. One Sample Hypothesis Testing n > 30  m : =AVERAGE()  s : =STDEV()  zOBS : =STANDARDIZE(x,m, s/SQRT(n))  zCRIT : =NORMSINV(1-a/# of tails)  p-value : =(# of tails) * (1- NORMSDIST(ABS(zOBS)))
  • 6. One Sample Hypothesis Testing n < 30  m : =AVERAGE()  s : =STDEV()  tOBS : =STANDARDIZE(x,m, s/SQRT(n))  tCRIT : =TINV(2a/# of tails,df)  p-value : TDIST(ABS(tOBS)),df, # of tails)
  • 7. Not Enough Sleep  Null: m <= .267 – Not enough sleep (less than 7 hours) does not lead to more fights.  Alternative: m > .267 – Not enough sleep (less than 7 hours) does lead to more fights.
  • 8. Not Enough Sleep  Hypothesized Value = .267  Sample Mean = .262  Standard Deviation = .445  Sample Size = 42  Do not Reject the Null  zOBS = (.073)  zCRIT = 1.645  P-value = .471  a-level = .05
  • 9. Not Enough Sleep  Null: m <= .267 – Not enough sleep (less than 6 hours) does not lead to more fights.  Alternative: m > .267 – Not enough sleep (less than 6 hours) does lead to more fights.
  • 10. Not Enough Sleep  Hypothesized Value = .267  Sample Mean = .250  Standard Deviation = .447  Sample Size = 16  Do not Reject the Null  tOBS = (.152)  tCRIT = 1.753  P-value = .441  a-level = .05
  • 11. Bills Paid That Day  Null: m <= .267 – Bills paid that day does not lead to more fights.  Alternative: m > .267 – Bills paid that day does lead to more fights.
  • 12. Bills Paid That Day  Hypothesized Value = .267  Sample Mean = .333  Standard Deviation = .516  Sample Size = 6  Do not Reject the Null  tOBS = .313  tCRIT = 2.015  P-value = .383  a-level = .05
  • 13. PMS Symptoms That Day  Null: m <= .267 – PMS Symptoms that day does not lead to more fights.  Alternative: m > .267 – PMS Symptoms that day does lead to more fights.
  • 14. PMS Symptoms That Day  Hypothesized Value = .267  Sample Mean = .600  Standard Deviation = .516  Sample Size = 10  Reject the Null  tOBS = 2.041  tCRIT = 1.833  P-value = .036  a-level = .05
  • 15. A Bad Day at Work  Null: m <= .267 – A bad day at work does not lead to more fights.  Alternative: m > .267 –A bad day at work does lead to more fights.
  • 16. A Bad Day at Work  Hypothesized Value = .267  Sample Mean = .500  Standard Deviation = .519  Sample Size = 14  Do not Reject the Null  tOBS = 1.680  tCRIT = 1.771  P-value = .059  a-level = .05
  • 17. Too Much Coffee  Null: m <= .267 – Too much coffee (2+) does not lead to more fights.  Alternative: m > .267 – Too much coffee (2+) does lead to more fights.
  • 18. Too Much Coffee  Hypothesized Value = .267  Sample Mean = .364  Standard Deviation = .492  Sample Size = 22  Do not Reject the Null  tOBS = .925  tCRIT = 1.721  P-value = .183  a-level = .05
  • 19. School the Next Day  Null: m <= .267 – School the next day does not lead to more fights.  Alternative: m > .267 – School the next day does lead to more fights.
  • 20. School the Next Day  Hypothesized Value = .267  Sample Mean = .300  Standard Deviation = .470  Sample Size = 20  Do not Reject the Null  tOBS = .314  tCRIT = 1.729  P-value = .378  a-level = .05
  • 21. Conclusions  As the psychologist  Not enough sleep (7 hours)  |OBS|< CRIT and P-value > α-level  We do not reject the null hypothesis, meaning less than 7 hours of sleep does not trigger the fights.  Not enough sleep (6 hours)  |OBS|< CRIT and P-value > α-level  We do not reject the null hypothesis, meaning less than 6 hours of sleep does not trigger the fights.
  • 22. Conclusions  A bad day at work  |OBS|< CRIT and P-value > α-level  We do not reject the null hypothesis, meaning that a bad day at work does not necessary lead to a fight.  Bills paid that day  |OBS|< CRIT and P-value > α-level  We do not reject the null hypothesis, meaning that when bills were paid that day it does not necessary lead to a fight.
  • 23. Conclusions  School the next day  |OBS|< CRIT and P-value > α-level  We do not reject the null hypothesis, meaning that having school the next day does not lead to a fight.  As a marriage counselor • Too much coffee (2 +)  |OBS|< CRIT and P-value > α-level  We do not reject the null hypothesis, meaning that drinking too much coffee does not lead to a fight.
  • 24. Conclusions  PMS symptoms  |OBS|> CRIT and P-value < α-level  We reject the null hypothesis, meaning that there is enough evidence to say that PMS symptoms lead to fights.
  • 25. Recommendations  Talk to a specialist on how to deal with PMS symptoms.  More thorough analysis of the relationship.  Combination of 2 or more factors may be the cause so more calculations are needed.  As a last resort: they are not meant for each other >>>> Get a good lawyer!!!