Statistics Lectures - 22: More Samples t-Test
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.
Related Pages
20: One Sample z-Test & One Sample t-Test
21: Various Types Of Samples t-Test
23: ANOVA
24: Repeated Measures ANOVA & Factorial ANOVA
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Statistics - Lecture 66: Confidence Intervals For Dependent Samples t-Test
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.
Statistics - Lecture 67: Effect Size For Dependent Samples t-Test
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.
Statistics - Lecture 68: z-Test For Proportions, Two Samples
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
- Define Null and Alternative Hypotheses
- State Alpha
- State Decision Rule
- Calculate Test Statistic
- State Results
- State Conclusion
Statistics - Lecture 69: Confidence Intervals For The Difference Of Two Proportions
We use the z-Test for Proportions to test if two proportions are different from one another.
Statistics Lecture Series - Table Of Contents
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