Skip to content Skip to navigation

Connexions

You are here: Home » Content » Confidence Intervals: Summary of Formulas

Navigation

Content Actions

  • Download module PDF
  • Add to ...
    Add the module to:
    • My Favorites
    • A lens
    • An external social bookmarking service
    • My Favorites (What is 'My Favorites'?)
      'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.
    • A lens (What is a lens?)

      Definition of a lens

      Lenses

      A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

      What is in a lens?

      Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

      Who can create a lens?

      Any individual Connexions member, a community, or a respected organization.

    • External bookmarks
  • E-mail the authors

Lenses

What is a lens?

Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

This content is ...

In these lenses

  • Printable Books

    This module is included inLens: Connexions Books Available for Print on Demand
    By: ConnexionsAs a part of collection:"Collaborative Statistics"

    Comments:

    "This book was purchased from the authors by the Maxfield Foundation and provided to the community as an open textbook available freely online and in PDF format. Bound copies of the book can also […]"

    Click the "Printable Books" link to see all content selected in this lens.

  • Bio 502 at CSUDH

    This module is included inLens: Bio 502
    By: Terrence McGlynnAs a part of collection:"Collaborative Statistics"

    Comments:

    "This is the course textbook for Biology 502 at CSU Dominguez Hills"

    Click the "Bio 502 at CSUDH" link to see all content selected in this lens.

Recently Viewed

Tags

(What is a tag?)

These tags come from the endorsement, affiliation, and other lenses that include this content.

Confidence Intervals: Summary of Formulas

Module by: Dr. Barbara Illowsky, Susan Dean

formula 1: General form of a confidence interval

( lower value , upper value ) = ( point estimate - error bound , point estimate + error bound ) (lower value,upper value)=(point estimate-error bound,point estimate+error bound)

formula 2: To find the error bound when you know the confidence interval

error bound = upper value - point estimate error bound=upper value-point estimate OR error bound = upper value - lower value 2 error bound= upper value - lower value 2

formula 3: Single Population Mean, Known Standard Deviation, Normal Distribution

Use the Normal Distribution for Means EBM = z α 2 σ n EBM= z α 2 σ n

The confidence interval has the format ( x¯ - EBM , x¯ + EBM ) ( x -EBM, x +EBM).

formula 4: Single Population Mean, Unknown Standard Deviation, Student-t Distribution

Use the Student-t Distribution with degrees of freedom df = n - 1 df=n-1. EBM = t α 2 s n EBM= t α 2 s n

formula 5: Single Population Proportion, Normal Distribution

Use the Normal Distribution for a single population proportion p ' = x n p'= x n

EBP = z α 2 p ' q ' n p ' + q ' = 1 EBP= z α 2 p ' q ' n p'+q'=1

The confidence interval has the format ( p ' - EBP , p ' + EBP ) (p'-EBP,p'+EBP).

formula 6: Point Estimates

x¯ x is a point estimate for μ μ

p ' p' is a point estimate for ρ ρ

s s is a point estimate for σ σ

Comments, questions, feedback, criticisms?

Send feedback