Confidence intervals
Confidence intervals give us a range of plausible values for some unknown population parameter based on results from a sample. This unit covers confidence intervals for means and proportions using data from one sample.
This course contains 3 segments:
Introduction to confidence intervals
Let's explore why and how we build confidence intervals.
Confidence intervals for proportions
We build a confidence interval for a proportion when we want to estimate what percent of a population fits some category. For example, what percent of voters support a certain candidate? Instead of polling everyone, we can take a sample and make an estimate using a confidence interval.
Confidence intervals for means
We build a confidence interval for a mean when we want to estimate some average in a population. For instance, what's the mean income in a country?We can't get data from everyone, so we take a sample and make an estimate using a confidence interval.
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| Length | 3 segments |
| Starts | On Demand (Start anytime) |
| Cost | Free |
| From | Khan Academy |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Mathematics |
| Tags | Math |
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| Rating | Not enough ratings |
|---|---|
| Length | 3 segments |
| Starts | On Demand (Start anytime) |
| Cost | Free |
| From | Khan Academy |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Mathematics |
| Tags | Math |
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