Applied Statistics: Module 2
Application of Normal Probability Distributions in Making Predictions
Probability is used to model uncertainty in real-world measurements. Statistics uses probability to quantify the accuracy in the analysis of data. Module One covered discrete and continuous probability distributions and their properties. This module focuses on a specific continuous distribution—the normal distribution—and how it can be used to make decisions and predictions. Additionally, this module will introduce students to the central limit theorem and students will learn how to apply this theorem to sample proportions and sample means.
Complete the Module Two problem set in MyStatLab (14 questions). See Instructor Tips in MyStatLab for video solutions for select problems. In the Module Two problem set, video solutions are available for problem numbers 4, 5, 8, 10, and 12.
Click on the MyStatLab link on the left-side navigation to access this resource. You are allowed unlimited attempts to complete this assignment.
