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

Two-sample inference for the difference between groups

This course contains 2 segments:

Comparing two proportions

Build confidence intervals and do significance tests to see if there is a significant difference between the proportions of some variable in two populations.

Read more

This course contains 2 segments:

Comparing two proportions

Build confidence intervals and do significance tests to see if there is a significant difference between the proportions of some variable in two populations.

Comparing two means

Build confidence intervals and do significance tests to see if there is a significant difference between the means of some variable in two populations.

Enroll now

Save this course

Save Two-sample inference for the difference between groups to your list so you can find it easily later:
Save

Activities

Coming soon We're preparing activities for Two-sample inference for the difference between groups. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Two-sample inference for the difference between groups 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 Statistics and probability. It's comprised of 16 courses:
  1. Probability
  2. Counting, permutations, and combinations
  3. Random variables
  4. Sampling distributions
  5. Confidence intervals
  6. Significance tests (hypothesis testing)
  7. Two-sample inference for the difference between groups (viewing)
  8. Inference for categorical data (chi-square tests)
  9. Advanced regression (inference and transforming)
  10. Analysis of variance (ANOVA)
  11. Displaying and comparing quantitative data
  12. Analyzing categorical data
  13. Summarizing quantitative data
  14. Modeling data distributions
  15. Exploring bivariate numerical data
  16. Study design
Share and help others discover this course.
Facebook LinkedIn X Reddit Link Email
Don't miss out
Enroll today to gain access to this course
Enroll in this course
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