about account add arrow-down arrow-left arrow-right arrow-up back-arrow register-arrow book-mobile book categories chat-bubble-mobile chat-bubble close college contact-us credit-card drag email-square facebook-mobile facebook-square facebook faq film history home load modal-error person pinterest-square play-mobile play queue remove resume search share show star tick trailer trash twitter-mobile twitter-square twitter university warning warning youtube-square open-eye close-eye promo-tag tag check info info active
3

Inference—How Close? How Confident?

Lecture no. 3 from the course: Meaning from Data: Statistics Made Clear

Inference—How Close? How Confident?

Taught by Professor Michael Starbird | 32 min | Categories: The Great Courses Plus Online Mathematics Courses

The logic of statistical inference is to compare data that we collect to expectations about what the data would be if the world were random in some particular respect. Randomness and probability are the cornerstones of all methods for testing hypotheses.

Reviews

r********k
October 24, 2017
Very clear, explained concepts I have struggled with previously brilliantly.

Reply

Delete

z********m
May 18, 2017

Reply

Delete

d********m
December 23, 2016
I've had statistics in math class, but we dove right into calculating means and standard deviations on bell curves. I got a small sense of how it worked and I've been applying that in my work ever since, but this class is really helping me consolidate some of the statistical analysis I'm doing for my own business.

Reply

Delete