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11.3: Using Inference to make Decisions AP Statistics NPHS. Choosing a Level of Significance: Things to think about. (1) How plausible is H 0 ? A study that finds that smoking increases the risk of Alzheimer's. You read a study that claims to have evidence that smoking is really good for you. - PowerPoint PPT Presentation
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11.3: Using Inference to make Decisions
AP StatisticsNPHS
Choosing a Level of Significance: Things to think about
(1) How plausible is H0? A study that finds that smoking increases the risk of
Alzheimer's. You read a study that claims to have evidence that
smoking is really good for you.
(2) What are the consequences of rejecting H0? You find evidence that cats sleep more than dogs. You find evidence that a new drug may have
harmful side-effects…but your company has invested millions of dollars in an ad campaign for the drug.
Statistical Significance vs. Practical ImportanceYou decide to run a significance test to see if a particular SAT
prep program increases scores on the Math portion. You know from previous research that the average score on the Math section is 510 with a standard deviation of 50. You take a sample of 200 students and find that they have an average score of 515. Use a 5% level of significance. H0: μ = 510 Ha: μ > 510 P-Value: 0.02167
We can reject the null hypothesis that the prep program does not improve scores…but is a 5 point increase worth anything?
Beware Outliers!!!Pesky little outliers can destroy
the significant of otherwise significant data.
They can also make data appear significant when it actually is not.
Always do a graphical analysis of your data The effect you are searching for
should be evidence in your plotsConfidence intervals can help
you get a better idea
Beware Outliers!!!Be aware of “dropouts”
from statistical analysis.
Make sure that all the data is represented in the analysis.
Lack of SignificanceExample 11.14 In an experiment to compare methods for reducing
transmission of HIV, subjects were randomly assigned to a treatment group and a control group. Result: the treatment group and the control group had the same rate of HIV infection. Researchers described this as an “incident rate ratio” of 1.00. (>1.00 means greater rate of infection among treatment group, <1.00 means greater rate among control).
The 95% confidence interval for the incident rate ratio was reported at 0.63 to 1.58.
Can you really say that the treatment has no effect?
Lack of SignificanceDesign a study so that it has a high
probability of finding a real effect. What could you do to increase the chances of
finding an effect?
Invalid Statistical Inference Hawthorne effect
What is the term for a study where neither the subject nor the administrator knows who is getting what treatment?
Invalid Statistical Inference The importance of an SRS from the population of
INTEREST.
Multiple AnalysesA study using an alpha level of 0.05 is run for
20 different types of soda to see if there is an association between drinking soda and scoring well on a math test.
It is found that one soda, Mountain Dew, did increase scores.
Why is this not good evidence of an effect?