STAT 201
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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
Min
3
Fixed
3
Fixed
3
Fixed
0
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
Simple Problems
Learning Outcome
Solve simple problems using axioms of probability, conditional probability, independence, and Bayes' theorem
Title
Compute Probabilities
Learning Outcome
Compute probabilities, expected value, and variance using the pdf of a discrete univariate random variable
Title
Normal Distribution
Learning Outcome
Compute probabilities for the normal distribution
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
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
Test Statistic and P-Value
Learning Outcome
Compute the test statistic and p-value for H0 : µ = µ0 from a random sample
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
Title
Statistically Significant Interaction
Learning Outcome
Explain a statistically significant interaction
