We have two different learning tools for two random independent groups. One group of exam scores is higher. Learn how to develop a confidence interval to help identify the true population mean differences between the two groups.
- In the previous video, we discussed a situation…where 200 students were randomly placed into two groups.…These students were going to be given a test…on a math concept.…One group of students was allowed to use an online video…to prepare for the exam.…The second group used a traditional textbook…to prepare for the same exam.…The exam had 20 questions.…For this video, let's provide some updated data.…The group that used the online video to prepare…ended up with 120 students.…
This group averaged 16.2 correct questions on the exam.…The standard deviation of these test scores was 2.5.…The group that used the traditional textbook…to prepare for the exam, they had 80 students.…The textbook group averaged 14.1 correct questions…on the exam.…The standard deviation of their scores was 3.6.…As we can see, the average score for the online video…group was 2.1 correct questions higher than that…of the textbook group.…
This of course is only the difference for these two…random groups of students from this one school.…If the online video was available to the entire population…
- Working with small sample sizes
- Using t-statistic vs. z-statistic
- Calculating confidence intervals with t-scores
- Comparing two populations (proportions)
- Comparing two population means
- Chi-square testing
- ANOVA testing
- Regression testing
Skill Level Advanced
1. The Statistics Series: A Look Back and Forward
2. Small Sample Sizes
T-statistic vs. z-statistic3m 44s
3. Comparing Two Populations (Proportions)
4. Comparing Two Populations (Means)
6. ANOVA: Analysis of Variance
7. Introduction to Regression
Next steps1m 40s
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