Due Dates:
See Schedule
Resources
Read Manly, Chapters 1 and 2
Lesson
Description
This module provides an introduction to the course
by discussing the basics of statistical data analysis and sampling. In
addition to covering environmental sampling, it reviews populations
and samples, sampling distributions, confidence intervals, and data
quality objectives.
The main objective of the module is to get comfortable with the three
main types of sampling plans: simple random sampling, stratified
random sampling, and systematic sampling. There is some discussion of
more sophisticated types of sampling at the end of the module but we
won't spend as much time focusing on those. For the three sampling
designs, you need to be able to define them, know when you would use
them, design a simple sampling plan, and know how you would analyze
the data resulting from using them.
The textbook covers three types of data analysis stemming from these
sampling plans: estimation of means, totals, and proportions. The
lectures focus on the most of important of these – estimating means.
The other equations can be looked up when needed.
Finally, the last key topic is the calculation of sample sizes and the
allocation of the total sample to population strata.
This week, work through the seven submodules and review Chapter 2 in
the textbook. You will need to show mastery of this material in Problem Set 2. |
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Activities To Do |
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Practice
Problems |
Work practice problems if needed.
Check against posted solutions. |
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Evaluation:
Homework/Exams |
Complete and Submit Problem Set 1
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Communication |
Threaded
Discussion
Post at least
one comment to each topic, more is better. Also post your own
questions to the
Threaded Discussion
Chat
Times to be Decided.
We'll meet in the
Chat Room
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