Learningoutcomes

STAT 201

Course Purpose

Learning Outcomes

Numerical and Graphics Summary

Simple Problems

Compute Probabilities

Normal Distribution

Sampling Distribution

Experimental Design

Interval for µ

Test Statistic and P-Value

One-factor ANOVA Table

Two-factor ANOVA Table

Statistically Significant Interaction

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Learning Outcomes

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Course Outcome	Program Outcomes
Numerical and Graphics Summary Compute numerical and graphics summary statistics using professional statistical software and explain difference between populations given the summaries (numerical or graphical)	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Simple Problems Solve simple problems using axioms of probability, conditional probability, independence, and Bayes' theorem	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Compute Probabilities Compute probabilities, expected value, and variance using the pdf of a discrete univariaterandom variable	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Normal Distribution Compute probabilities for the normal distribution	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Sampling Distribution Understand the definition of the sampling distribution of x-bar, and identify the mean, variance, and shape of the sampling distribution given the population information	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Experimental Design Understand the basics of experimental design, including the definition of the experimental unit, response, variable, factor(s), and level(s) of a basic experiment, and the role of randomization and replication to permit causal inference	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Interval for µ Compute the confidence interval for μ from a random sample and make the correct decision about an experiment when given a confidence interval	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Test Statistic and P-Value Compute the test statistic and p-value for H0 : µ = µ0 from a random sample	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
One-factor ANOVA Table Compute the ANOVA table for data from a completely randomized design using professional statistical software	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Two-factor ANOVA Table Compute the ANOVA table for data from a two factor experiment using professional statistical software	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Statistically Significant Interaction Explain a statistically significant interaction	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices