'Experimental units' presentation slideshows

Other experimental designs

Other experimental designs. Randomized Block design Repeated Measures designs. The Randomized Block Design. Suppose a researcher is interested in how several treatments affect a continuous response variable (Y).

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Chapter 5

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Chapter 1: Introduction to Statistics

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Types of Experimental Designs

Types of Experimental Designs. EQ: How can I make a BETTER experiment?. Observational Study: a study based on data in which no manipulation of factors has been employed. Experiment. Manipulates factor levels to create treatments. Randomly assigns subjects to the treatments.

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4 .2 Designing Experiments

4 .2 Designing Experiments. Observational Study. Observes Individuals and measures variables of interest but does not attempt to influence the responses. Experiment. Deliberately imposes some treatment on individuals in order to observe their responses

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Chapter 1 Data Presentation

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Assessing Program Impact

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Experiments Main role of randomization: Assign treatments to the experimental units.

Why randomize?. Experiments Main role of randomization: Assign treatments to the experimental units. Sampling Main role of randomization: Random selection of the sample of cases from the population. Why randomize?. Experiments Main role of randomization:

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Planning and Conducting Experiments

Planning and Conducting Experiments. Emily Bennett 1 st Period. Characteristics . Well Designed and Well Conducted Experiments. Random: The study must be randomized to prevent bias. Replication: When a study has a large sample or is performed multiple times it gives more accurate results.

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CHAPTER 4 Designing Studies

CHAPTER 4 Designing Studies. 4.2 Experiments. Observational Study vs. Experiment. An observational study observes individuals and measures variables of interest but does not attempt to influence the responses.

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Assumptions: In addition to the assumptions that we already talked about this design assumes:

Completely Randomized Factorial Design With Two Factors. Assumptions: In addition to the assumptions that we already talked about this design assumes: Two or more factors, each factor having two or more levels.

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Control of coffee berry borer and increase of coffee yields using Surround WP (kaolin)

Control of coffee berry borer and increase of coffee yields using Surround WP (kaolin). Shawn Steiman, PhD (Coffea Consulting) Elsie Burbano , PhD (UH). Brewed for today. Introduction to the project Methodology Participants Surround WP First year results Questions Field demo.

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Get out homework and discuss with neighbor. Be prepared with any questions you might have.

Get out homework and discuss with neighbor. Be prepared with any questions you might have. Designing Experiments, cont. Section 5.2 . Cautions About Experimentation.

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Classifying and Understanding Data

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Chapter 1 - Introduction

Chapter 1 - Introduction. Math 22 Introductory Statistics. What is Statistics?. Statistics - Involves the collection, organization, interpretation, and presentation of numerical information. Introductory Terms. Experimental Units - Subjects

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Stratification (Blocking)

Stratification (Blocking). Grouping similar experimental units together and assigning different treatments within such groups of experimental units A technique used to eliminate the effects of selected confounding variables when comparing the treatment

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Chapter 5: Producing Data

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Experiments

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The Matched Pairs Design

The Matched Pairs Design. By Christian Ing, Brittany Omotosho, and Aaron Faulkner . WHAT IS THE MATCHED- PAIRS DESGIN???. The matched-pairs design is an experimental design in which the experimental units are paired up. The pairs are matched up so that they are somehow related.

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