Our group decided to address the topic of confidence intervals and the interpretation and use of confidence intervals, in particular focusing on the interpretation of confidence intervals (i.e. what intervals say and what they do not say). We chose this topic after having noticed students having difficulty with the interpretation and use of the confidence interval and not so much the computation of the confidence interval.
Learning Goals
By the end of the lesson, students will understand the purpose of a confidence interval, how to calculate a confidence interval and how to interpret a confidence interval correctly in the context of the problem. With the completion of the lesson, we hope to address and prevent common misconceptions and misinterpretations of confidence intervals.
Overarching Purposes
The lesson is building on the basic idea of statistical inference. By the end of the entire course, the hope is that students have acquired an understanding of statistical inference (i.e. making a claim about the population from information collected via a random sample or randomized experiment) and to gain insight into the idea of sampling variability.
Contact: Brooke Fridley
Previous Log: 1
Comments