Stat 101L: Lecture 20 - Randomization, Replication, Blocking, and Experimental Design - Pr, Study notes of Statistics

This document from stat 101l, lecture 20 discusses the importance of randomization and replication in experimental design to minimize the effects of outside variables and ensure the repeatability of results. The text also covers the concept of blocking and the use of placebos, calculators, and formulas as treatments. Additionally, the document touches upon the concept of confounding variables.

Typology: Study notes

Pre 2010

Uploaded on 09/02/2009

koofers-user-yla-1
koofers-user-yla-1 🇺🇸

5

(1)

10 documents

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Stat 101L: Lecture 20
1
1
Randomization
Randomization tends to spread the
effects of uncontrolled outside
variables evenly across the
treatment groups.
Randomization reduces the chance
that an uncontrolled outside
variable will bias the results.
2
Replication
Within an experiment.
must have several experimental
units in each treatment group.
can assess the natural variation
in the response for units treated
the same.
3
“Replication”
Repeating the entire experiment.
This is especially important if the
subjects in an experiment are not a
random sample fro m a population.
Are the r esults of the entire
experiment repeatable?
pf3

Partial preview of the text

Download Stat 101L: Lecture 20 - Randomization, Replication, Blocking, and Experimental Design - Pr and more Study notes Statistics in PDF only on Docsity!

1

Randomization

Randomization tends to spread the effects of uncontrolled outside variables evenly across the treatment groups.

Randomization reduces the chance that an uncontrolled outside variable will bias the results.

2

Replication

Within an experiment.

–must have several experimental units in each treatment group. –can assess the natural variation in the response for units treated the same.

3

“Replication”

Repeating the entire experiment.

  • This is especially important if the subjects in an experiment are not a random sample from a population.
  • Are the results of the entire experiment repeatable?

4

Diagram

Subjects randomallocation

Group 1 several subjects

Group 2 several subjects

Treatment 1

Treatment 2

Compare Response

5

Block

There may be attributes of the experimental units that can’t be controlled but may affect the response. Group similar experimental units into blocks and then randomize the assignment of treatments within each block.

6

Blocking

Math ability

–very high, high, average, low, and very low. –assign, at random, students from each math ability group to each treatment.