Statistics Lectures - 21: Various Types Of Samples t-Test

Related Pages
19: Effect Size, Power, Statistical vs. Practical Significance
20: One Sample z-Test & One Sample t-Test
22: More Samples t-Test
23: Introduction To ANOVA & One-Way ANOVA
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Statistics - Lecture 62: Independent Samples t-Test

Example:
A statistics teacher wants to compare his two classes to see if they performs any differently on the tests he gave that semester. Class A has 25 students with an average score of 70, standard deviation 15. Class B has 20 students with an average score of 74, standard deviation 25. Using alpha 0.05, did these two classes perform differently on the tests?

1. Define Null and Alternative Hypothesis
2. State Alpha
3. Calculate Degrees of Freedom
4. State Decision Rule
5. Calculate Test Statistic
6. State Results
7. State Conclusion

Statistics - Lecture 63: Confidence Intervals For Independent Samples t-Test

We use the Independent Samples t-Test to test if two sample means 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 64: Effect Size For Independent Samples t-Test

The effect size allows us to measure the magnitude of mean differences.

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Statistics - Lecture 65: Dependent Samples t-Test

Example:
Researches want to test a new anti-hunger weight loss pill. They have 10 people rate their hunger before and after taking the pill. Does the pill do anything? Use alpha = 0.05.

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Statistics Lecture Series - Table Of Contents

• Descriptive Statistics
• Probability
• Correlation
• Inferential Statistics

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