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Learning Objectives: 1).Determine point estimates in simple cases, and make the connection between the sampling distribution of a statistic, and its properties as a point estimator.
2). Explain what a confidence interval represents and determine how changes in sample size and confidence level affect the precision of the confidence interval.
3). Find confidence intervals for the population mean and the population proportion (when certain conditions are met), and perform sample size calculations.

Subject:
Mathematics
Statistics and Probability
Material Type:
Module
Provider:
Carnegie Mellon University
Provider Set:
Open Learning Initiative
05/22/2019
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Introductory statistics course developed through the Ohio Department of Higher Education OER Innovation Grant. The course is part of the Ohio Transfer Module and is also named TMM010. For more information about credit transfer between Ohio colleges and universities please visit: www.ohiohighered.org/transfer.Team LeadKameswarrao Casukhela                     Ohio State University – LimaContent ContributorsEmily Dennett                                       Central Ohio Technical CollegeSara Rollo                                            North Central State CollegeNicholas Shay                                      Central Ohio Technical CollegeChan Siriphokha                                   Clark State Community CollegeLibrarianJoy Gao                                                Ohio Wesleyan UniversityReview TeamAlice Taylor                                           University of Rio GrandeJim Cottrill                                             Ohio Dominican University

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
Ohio Open Ed Collaborative
05/11/2021
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In this module we will explore the concept of a confidence interval to estimate an unknown population parameter. Specifically, we will obtain confidence interval estimates for unknown population mean and for unknown population proportion. We will also find how large a sample we would require to estimate these parameters for any given amount of accuracy and confidence level.Learning Objectives:Construct and interpret a confidence intervalStudent’s t-distributionStandard error and margin of errorSample size estimationTextbook Material -  Chapter 8 – Confidence Intervals – pages 439 - 463Suggested Exercises – Odds 97 – 134

Subject:
Statistics and Probability
Material Type:
Module
Author:
OER Librarian