One group takes a new drug, another takes a placebo. This video helps develop a confidence interval that will assist in identifying the true population proportion differences between two independent populations.
- So, let's compare two independent populations…in an effort to figure out if a new drug is effective…in reducing the chance of a heart attack.…In real life, this testing would take many years.…There are several different phases for drug testing…but let's ignore that for now.…Imagine the a drug company gathers…a large number of subjects.…The subjects are randomly placed into two groups.…One group of subjects is given this new drug.…The other group of subjects is given a placebo,…a pill with no medicinal value.…
Suppose, these were the results of this long-term study.…For a new drug group, we had a sample size of 2,219.…26 of those had a heart attack.…So, our p-hat here is 26 divided by 2,219.…For our placebo group, we had a sample size of 2,035.…46 of those people had a heart attack.…So, in this case, our p-hat is 46 divided by 2,035.…
The sample group that took the drug…had heart attacks at a rate of 0.0117 or 1.17%.…The sample group that took the placebo…had heart attacks at a rate of 0.0226 or 2.26%.…Remember, these are just samples.…
- 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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