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Confidence intervals

This course is a part of AP®︎ Statistics, a 17-course Topic series from Khan Academy.

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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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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