- Printable PDF version of the syllabus
- Examples - Probability
- Notes - Probability Distributions
- Probability Tables - Binomial and Poisson
- Examples - Sampling
- Notes - Estimation (Central Limit Theorem)
- Probability Tables - Standard Normal (Z)
- Probability Tables - Student's t Distribution
- Values of t for a given confidence level
- One-tailed probabilities for given values of t
- Two-tailed probabilities for given values of t
- Online
t calculator

- Online random number generator

- Notes - Hypothesis Testing (p-value method)
- Examples - Hypothesis
Testing problems with answers

- Midterm Data Project: Nearest Neighbor Analysis (due in class Mon., Oct. 11)
- Problem Set 4: Probability Concepts (due in class Mon., Oct. 18)
- Problem Set 5: Probability Distributions (due in class Fri., Oct. 29)
- Problem Set 6: Sampling and Estimation (due in class Fri., Nov. 19)
- Extra Credit Problem Set: Standard Errors (due in class Mon., Nov. 22)
- Problem Set 7:
Hypothesis Testing (due in class Wed., Dec. 1)

- Final Data
Project: Sampling and Hypothesis Testing (due by 2:30 pm on
Wed., Dec. 8)

- Problem 4 - Key (probability concepts)
- Problem 5 - Key (probability distributions)
- Problem Set 6 - Key (sampling and estimation)
- Problem Set 7 -
Key (hypothesis testing)

- Second Midterm Exam - Key

Office...............220 DeLoach Hall

Phone...............910-962-7650

Email................benedettim@uncw.edu

Office Hours....MW 1:00-3:00, or by appointment.

Phone...............910-962-7650

Email................benedettim@uncw.edu

Office Hours....MW 1:00-3:00, or by appointment.

Catalogue Description

Prerequisites and Purpose

Textbook and Course Web Site

Exams

Problem Sets

Two
extended problem sets will be given
asking students to collect and analyze their own data sets. The midterm data project deals with spatial
statistics and nearest neighbor analysis, while the final data project
will
cover sampling, estimation, and hypothesis testing.
These are essentially take-home exams that
give students a chance to practice hands-on sampling, analysis, and
interpretation. Data for these projects
may be derived from
coursework or textbooks in your classes, atlases and other reference
books, or
web sites and online databases.

Data Projects.

Grading

50 % Homework Problem Sets (plus one extra
credit problem set)

30% Exams
(midterm in late September, final in early November)

20
% Data Projects (midterm due in
early
October, final due during final week)

** Calculators
and Computers.** Students should purchase a calculator with
statistical functions for use on problem sets and during exams.
Look for
a statistical calculator with keys such as Σ, μ, σ, n, or STAT. A
good,
cheap model is the TI-36 from Texas Instruments, available in stores
for about
$25. We will discuss the use of statistical calculators in class, but
students
are ultimately responsible for learning to use their own
calculator. We
will also use Microsoft Excel to perform statistical analysis for
several
problem sets during the semester.

Course Topics:

**Topics
to be covered on the first mid-term exam:**

Ch. 1-2: Introduction (basic vocabulary, notation, measurement levels,
graphical methods)

Ch. 3: Descriptive Statistics (measures of centrality, spread, and
shape)

Ch. 4: Descriptive Spatial Statistics (measures of location, distance,
and
dispersion)

**Topics
to be covered on the second mid-term exam:**

Ch. 5: Probability (postulates and theorems, random variables,
probability
distributions)

Ch. 6: Sampling (random samples, sampling distributions, spatial
sampling)

Ch. 7: Estimation (confidence intervals for estimates of population
mean or proportion)

**Topics
to be covered on problem sets after the second mid-term: **

Ch. 8: Basic Hypothesis Testing (one-sample tests for difference of
means or
proportions)

Ch. 9-10: Multiple-Sample Hypothesis Testing (2-sample tests, ANOVA
methods)

Ch. 13: Correlation (covariance, measures of correlation, spatial
correlation)