In an experiment designed to test the effectiveness of paroxetine for treating bipolar depression, subjects are measured using the Hamilton Depression Scale with the results below[1]. 43 patients were used in the placebo group; the sample mean was 21.57 and the sample standard deviation was 3.87. The treated group had 33 patients, a sample mean of 20.38 and s = 3.91. A lower score is better. Go through “The Drill” for independent t-tests (Use a 0.05 α-level and the corresponding confidence interval.)
The Drill:
Assumptions and Conditions
Distribution of the sample mean
Mechanics – computing the confidence interval.
Interpretation in context .
Meaning of “We are 95% confident ….”
Margin of error given the confidence interval.
Compute a sample size given a margin of error (and other parameters). (1-prop z only)
Assumptions and Conditions (if any additional)
One or two-sided?
α-level
Statement of the Hypothesis
Distribution of the sample mean under Ho.
(Make a picture)3 !
Mechanics – test statistic
p-value
Interpretation in context
Conclusion
Type I and Type II error (taught in Chapter 19.)
Assumption and conditions: Samples should be simple random samples. Sample should be independent.
Since sample sizes are large so no need to assume that populations are normally distributed.
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Confidence interval:
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Hypothesis test is:
Conclusion: We cannot conclude that treatment is effective. Since we fail to reject the null hypothesis so type II error is possible.
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