Continuous Random Variables
NRES 421
Spring 2016
1
Learning Objectives
By the end of this lecture you should be able to:
Explain how continuous random variables
differ from discrete random variables
Distinguish between uniform, normal,
lognormal, and ex

Sampling Theory
NRES 421
Spring 2016
Learning Objectives
By the end of this lecture you should be able to:
Explain what differentiates sampling from
experimentation and observational studies.
Describe the assumptions of finite population
sampling.
Reca

Discrete Random Variables
NRES 421
Spring 2016
1
Learning Objectives
By the end of this lecture you should be able to:
Distinguish between Bernoulli, Binomial, and
Poisson random variables
Interpret a probability distribution graph,
and explain how it i

Summary Statistics
NRES 421
Spring 2016
1
Learning Objectives
By the end of this lecture you should be able to:
Explain the relationship between samples,
populations, estimates, and parameters.
Define mean, median, mode.
Relate the variance to the sum

Introduction to Probability
NRES 421
Spring 2016
1
Learning Objectives
By the end of this lecture you should be able to:
Read and understand mathematical notation
for probability.
Explain how probabilities can be estimated by
sampling frequencies or cal

Probability (II)
NRES 421
Spring 2016
1
Learning Objectives
By the end of this lecture you should be able to:
Explain the difference between a
permutation and a combination
Calculate the number of permutations and
combinations of n objects taken r at a

Computer labs for NRES 421
For your weekly computer lab exercises, you will
be using some software called R.
R is:
An interactive statistical environment with
high-quality graphics capabilities
An open source implementation of the S
language for statist

Welcome to NRES 421:
Quantitative Methods in NRES
Spring 2016
Who We Are
Instructor: Dr. Tony Yannarell
office: S-522 Turner Hall
Fridays, noon 1:00 pm, OR
by appointment
acyann@illinois.edu
Teaching Assistant: Ms. Dora Cohen
office: S-310 Turner Hall
Wed