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

3

3

3

0

### Title

Test Statistic and P-Value

### Learning Outcome

Compute the test statistic and p-value for H0 : &micro; = &micro;0 from a random sample

### Title

Statistically Significant Interaction

### Learning Outcome

Explain a statistically significant interaction

Simple Problems

### Learning Outcome

Solve simple problems using axioms of probability, conditional probability, independence, and Bayes&#39; 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

Interval for µ

### Learning Outcome

Compute the confidence interval for &mu; 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&nbsp;and explain difference between populations given the summaries (numerical or&nbsp;graphical)

### Title

Sampling Distribution

### Learning Outcome

&nbsp;Understand the definition of the sampling distribution of x-bar, and identify the mean,&nbsp;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&nbsp;statistical software

### Title

Two-factor ANOVA Table

### Learning Outcome

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