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Survey of Statistical Methods

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Title: Survey of Statistical Methods


1
Survey of Statistical Methods
  • Monday, March 28, 2005

2
Sample Problem
  • A physiologist has conducted an experiment to
    evaluate the effect of 3 different concentrations
    of a hormone X on aggressive behavior. Ten rats
    were randomly assigned to one of 4 conditions.
    Rats were injected with either a low
    concentration, medium concentration, or a high
    concentration of hormone X, or with a placebo
    substance. The number of aggressive encounters
    were counted over a 20-minute period. Using
    ?.05, determine how hormone X effects aggressive
    behavior.

3
Sample Data
4
What Hypothesis is being tested?
X
X
  • H0 M µ
  • H1 M ? µ
  • H0 M1 M2
  • H1 M1 ? M2
  • H0 M1 M2 M3 M4
  • H1 at least one Mi ? Mj

5
Sample Data
  • H0 Mcontrol Mlow Mmedium Mhigh
  • H1 at least one Mi ? Mj

6
What is ANOVA?
  • ANalysis Of VAriance
  • A method to tests hypotheses involving more than
    two means
  • Developed by Sir Ronald Fisher (1890-1962)
  • "To call in the statistician after the experiment
    is done may be no more than asking him to perform
    a postmortem examination he may be able to say
    what the experiment died of." Indian Statistical
    Congress, Sankhya, ca 1938

7
A little ANOVA THEORY
8
Sample data file hormone_study_data.sav
If the research design is between subjects. In
order to run a One-Way ANOVA, data is entered
this way
9
To run the analysisAnalyze -- Compare Means --
One-Way ANOVA
10
The F-ratio is robust to violation of the
assumption of homogeneity of variance if the
sample Ns are equal.
If the sample Ns are not equal you must look at
the results here. If plt.05 you have violated the
assumption.
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12
Creating an ANOVA Summary Table for publication
13
dfnum levels of IV - 1 3
dfden (N - 1) - dfnum 36
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15
Obtained F 22.77
Reject H0
Accept H0
2.84
  • Evaluate the outcome
  • Since the obtained F falls within the critical
    region, we reject the null hypothesis

16
Steps for Analysis (cont.)
  • Conclusion
  • Hormone X has a significant effect on aggressive
    behavior.
  • In order to determine which concentration
    produces the greatest change we need to conduct a
    post-hoc analysis.

17
Post-Hoc Analyses
  • A test of the statistical significance of
    differences between individual group means
    calculated after obtaining a significant F-ratio.
  • Some typical Post-Hoc analyses include
  • Fisher's LSD
  • Dunnett
  • Newman-Keuls
  • Tukey
  • Scheffe Test

18
Tukey HSD Procedure
  • Developed in 1953
  • Called Tukey HSD(Honestly Significant
    Difference)
  • Designed to compare all possible pairs of means
    while maintaining the Type I error at ?.

19
Controlling Type I Error
  • Multiple t-tests
  • H01 MP ML
  • H02 MP MM
  • H03 MP MH
  • H04 ML MM
  • H05 ML MH
  • H06 MM MH
  • ?familywise6(.05).30
  • Tukey HSD
  • H01 MP ML
  • H02 MP MM
  • H03 MP MH
  • H04 ML MM
  • H05 ML MH
  • H06 MM MH
  • ?familywise.05

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23
  • H01 MP MLaccept
  • H02 MP MMreject
  • H03 MP MHreject
  • H04 ML MMreject
  • H05 ML MHreject
  • H06 MM MHreject

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25
Steps for Analysis (cont.)
  • Conclusion
  • Hormone X had a significant effect on aggressive
    behavior. Figure 1 summarizes these effects.

26
Sample Problem 2
  • The same course is administered by 4 different
    instructors at a University. At the end of the
    semester, each student takes the same exam. The
    question is Did the students performance differ
    between instructors?
  • Data is in the file instructor.sav

27
Assignment for Wednesday
  • Conduct an analysis of this data and bring your
    results with you to class on Wednesday.

28
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