07 - Confidence interval for a mean (Oct. 19-25)

Confidence Interval for a Mean

Learning Objectives

  • Understand statistical inference as the use of sample data to make decisions about populations. 
  • Name the two most common statistical inference procedures. 
  • Know how to interpret a confidence interval estimation and define margin of error. 
  • Define the sampling distribution, mean, and standard deviation of a sample mean. 
  • Describe how to compute a confidence interval for the mean of a normal distribution and a t-distribution. 
  • State the Central Limit Theorem (CLT) and understand its application to problems. 
  • Main concept: when n is large, the sampling distribution of the sample mean is approximately normal by the CLT.

 Videos & Video Lectures

 

Readings

 

Assignments

 

Required Online Adobe Connect Sessions

  • Wednesday, October 19 7-8:20pm ET - Happy Hour with Rod Little
    • Topic - Review Week 6, Homework Q&A, Preview Week 7
    • Week 7 Happy Hour Recording
  • Monday, October 24 7-8:20 pm ET - Lab 5 & 6 with Swastina Shrestha
    • Week 5 & 6 Lab Recording

Powerpoint Slides

 

Additional Resources