lecture_19_f01 - Statistics 400 - Lecture 19 Last Day:...

Info iconThis preview shows pages 1–9. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Statistics 400 - Lecture 19 Last Day: Randomized Block Design Today: Experiments Experiments In a designed experiment, we deliberately apply a treatment to experimental units The response is observed to determine the effect of the treatment Designing the experiment deals with how we apply treatments to experimental units Example Sickle cell disease is an inherited disorder of the red blood cells An experiment is performed to see if the drug hydroxyurea can reduce the severe pain caused by sickle cell disease How might we conduct the experiment? Example (cont.) Who do we give treatments to? What treatments do we apply? How do we assign the treatments to patients? 3 Basic Principles of Experimental Design Randomization : the assignment of treatments to experimental units should be done randomly Spreads the effect of unknown lurking variables evenly over all treatment combinations on average Prevents uncontrolled sources of variation from influencing responses in a systematic manner Replication : repeating the experiment on several experimental units Reduces chance variation in the results Increases power when conducting statistical tests Blocking : Perform treatments on same (or similar) experimental units Removes effect of known variable (e.g. boy in boys shoe example or plot in the bio-mass example) Allows for fairer comparisons Note: treatments within each block are applied in random order Comparative Experiments...
View Full Document

Page1 / 21

lecture_19_f01 - Statistics 400 - Lecture 19 Last Day:...

This preview shows document pages 1 - 9. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online