OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Khan Academy logo

Confidence intervals

This course contains 3 segments:

Introduction to confidence intervals

Let's explore why and how we build confidence intervals.

Confidence intervals for proportions

Read more

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.

Enroll now

Save this course

Save Confidence intervals to your list so you can find it easily later:
Save

Career center

Learners who complete Confidence intervals will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Similar courses are unavailable at this time. Please try again later.
Course image
Time
1 hours
Via
Khan Academy
This course belongs to a collection called AP®︎ Statistics. It's comprised of 17 courses:
  1. Analyzing categorical data
  2. Displaying and describing quantitative data
  3. Summarizing quantitative data
  4. Modeling data distributions
  5. Exploring bivariate numerical data
  6. Study design
  7. Inference comparing two groups or populations
  8. Chi-square tests for categorical data
  9. More on regression
  10. Prepare for the 2019 AP®︎ Statistics Exam
  11. Probability
  12. Random variables
  13. Sampling distributions
  14. Confidence intervals (viewing)
  15. Significance tests (hypothesis testing)
  16. AP®︎ Statistics Standards mappings
  17. Prepare for the 2020 AP®︎ Statistics Exam
Share and help others discover this course
Facebook LinkedIn X Reddit Link Email
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser