A series of free Statistics Lectures with lessons, examples & solutions in videos.
This is page twenty-two of the series of free video lessons, “Statistics Lectures”. These lectures continues the discussion on samples t-test from the previous lectures, covering confidence intervals for dependent samples t-test, effect size for dependent samples t-test, z-test for proportions.
We use the Dependent Samples t-Test to test if two sample menas are different from one another.
After the t-Test, confidence intervals can then be constructed to estimate how large that mean difference is.
The effect size allows us to measure the magnitude of mean differences. This is usually calculated after rejecting the null hypothesis in a statistical test. If the null hypothesis is not rejected, effect size has little meaning.
Researchers want to test the effectiveness of a new anti-anxiety medication. In clinical testing, 64 out of 200
people taking the medication report symptoms of anxiety. Of the people receiving a placebo, 92 out of 200 report
symptoms of anxiety. Is the medication working any differently than the placebo?
Test this clain using alpha = 0.05
We use the z-Test for Proportions to test if two proportions are different from one another.
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