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STAT 201

Statistics for Engineers and Scientists

Statistics College of Physical and Mathematical Sciences

Course Description

The scientific method; probability, random variables, common discrete and continuous random variables, central limit theorem; confidence intervals and hypothesis testing; completely randomized experiments; factorial experiments.

When Taught

Fall, Winter, Spring

Grade Rule

Grade Rule 8: A, B, C, D, E, I (Standard grade rule)

Min

3

Fixed

3

Fixed

3

Fixed

0

Title

Test Statistic and P-Value

Learning Outcome

Compute the test statistic and p-value for H0 : µ = µ0 from a random sample

Title

Statistically Significant Interaction

Learning Outcome

Explain a statistically significant interaction

Title

Simple Problems

Learning Outcome

Solve simple problems using axioms of probability, conditional probability, independence, and Bayes' theorem

Title

Experimental Design

Learning Outcome

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

Title

Interval for µ

Learning Outcome

Compute the confidence interval for μ from a random sample and make the correct decision about an experiment when given a confidence interval

Title

Compute Probabilities

Learning Outcome

Compute probabilities, expected value, and variance using the pdf of a discrete univariaterandom variable

Title

Numerical and Graphics Summary

Learning Outcome

Compute numerical and graphics summary statistics using professional statistical software and explain difference between populations given the summaries (numerical or graphical)

Title

Sampling Distribution

Learning Outcome

 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

Title

Normal Distribution

Learning Outcome

Compute probabilities for the normal distribution

Title

One-factor ANOVA Table

Learning Outcome

Compute the ANOVA table for data from a completely randomized design using professional statistical software

Title

Two-factor ANOVA Table

Learning Outcome

Compute the ANOVA table for data from a two factor experiment using professional statistical software