Title: Survey of Statistical Methods
1Survey of Statistical Methods
2Sample 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.
3Sample Data
4What Hypothesis is being tested?
X
X
- H0 M1 M2 M3 M4
- H1 at least one Mi ? Mj
5Sample Data
- H0 Mcontrol Mlow Mmedium Mhigh
- H1 at least one Mi ? Mj
6What 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
7A little ANOVA THEORY
8Sample 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
9To run the analysisAnalyze -- Compare Means --
One-Way ANOVA
10The 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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12Creating an ANOVA Summary Table for publication
13dfnum levels of IV - 1 3
dfden (N - 1) - dfnum 36
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15Obtained 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
16Steps 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.
17Post-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
18Tukey 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 ?.
19Controlling 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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25Steps for Analysis (cont.)
- Conclusion
- Hormone X had a significant effect on aggressive
behavior. Figure 1 summarizes these effects.
26Sample 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
27Assignment for Wednesday
- Conduct an analysis of this data and bring your
results with you to class on Wednesday.
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