Course Hive
Search

Welcome

Sign in or create your account

Continue with Google
or
Confidence Intervals for the Mean, minimum sample size required when estimating μ - Statistics
Play lesson

Statistics Full Video Course - Confidence Intervals for the Mean, minimum sample size required when estimating μ - Statistics

5.0 (1)
9 learners

What you'll learn

This course includes

  • 21.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Increasing the sample size decreases the width of confidence intervals, because it decreases the standard error. c) The statement, "the 95% confidence interval for the population mean is (350, 400)", is equivalent to the statement, "there is a 95% probability that the population mean is between 350 and 400". Thus in general for a 100(1−α)% confidence interval, E=zα/2(σ/√n), so the formula for the confidence interval is ˉx±zα/2(σ/√n). While sometimes the population standard deviation σ is known, typically it is not. If not, for n≥30 it is generally safe to approximate σ by the sample standard deviation s

Course Hive

Continue this lesson in the app

Install CourseHive on Android or iOS to keep learning while you move.

Related Courses

FAQs

Course Hive
Download CourseHive
Keep learning anywhere