'Experimental unit' diaporamas de présentation

Probability & Statistical Inference Lecture 5

Probability & Statistical Inference Lecture 5. MSc in Computing (Data Analytics). Lecture Outline. Modern statistics uses a number of mathematical results to relate descriptive statistics and probability theory. These can be divided (roughly) under three headings:

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Chapter 5: Producing Data

Chapter 5: Producing Data. 5.1 Designing Samples 5.2 Designing Experiments 5.3 Simulating Experiments. Types of Studies. Observational Study We observe individuals and measure variables of interest, but no attempt is made to affect the outcomes.

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Randomized Blocks, Latin Squares, and Related Designs

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Chapter 12

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Elementary Statistics

Elementary Statistics. Joan Sholars , Professor. Statistics, the Beginning. Statistics is the study of procedures for collecting, describing, and drawing conclusions from information.

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Comparing Means for Several Populations

Comparing Means for Several Populations. When we wish to test for differences in means for only 1 or 2 populations, we use one- or two-sample t inference. Testing for differences in more than 2 populations, or at several different levels (values) of a variable involves a different approach.

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Lecture 2: Replication and pseudoreplication

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Research Designs

Research Designs. Research Question. Literature Search. Research Design. Design Instrument. and Analysis. and Method. Pilot Instrument -. Peers. population. Start of research. Update/Edit. Instrument. Interpret Results. Administer Instrument. Write up results. Capture Data.

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Math 227 Statistics

Math 227 Statistics. Chapter 1. Section 1 - 2 (Ref: General Statistics by Chase/Bown, 4 th ed.). I. What is Statistics?. Statistics deal with the collection, organization, presentation, analysis, and interpretation of data. There are two branches of statistics:

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Exam 3 Review

Exam 3 Review. Definitions (1). Process of collecting sample data. Definitions(2). In a(n) ___________________, subjects are assigned randomly to each of the cells formed by the treatments. Randomization is an effort to control for all unmeasured factors. . Definitions(3).

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Two-way ANOVA problems

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FERTILIZER SOURCES ON BERMUDAGRASS PASTURES FOR STOCKER GRAZING

FERTILIZER SOURCES ON BERMUDAGRASS PASTURES FOR STOCKER GRAZING. Hill Farm Research Station, Department of Agricultural Economics & Agribusiness, and Southeast Research Station. S. M. DeRouen, J. M. Gillespie, and J. D. Ward. Objective of the Study.

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PHARMACOMETRICS

PHARMACOMETRICS. Systems Pharmacology Quantitative Pharmacology Pharmacokinetics on Steroids. Noncompartmental Analyses. WinNonlin Area-under-the-curves (AUCs) Cmax Tmax Half-life Bioavailability fraction. Compartmental Modeling. Assume model

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ADAPTATION OF WARM SEASON ANNUAL LEGUMES FOR FORAGE IN SOUTHEASTERN NEW MEXICO

ADAPTATION OF WARM SEASON ANNUAL LEGUMES FOR FORAGE IN SOUTHEASTERN NEW MEXICO. By: Jim Armendariz in cooperation with: Dr. Calderon-Mendoza, A. Islas, M. F. Martinez-Perez, F.E. Contreras Govea, S. Angadi, M. Marsalis, L. Lauriault, and Dr.Sergio Soto-Navarro. Background.

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The Scientific Method

The Scientific Method. Formulation of an H ypothesis P lanning an experiment to objectively test the hypothesis Careful observation and collection of D ata from the experiment I nterpretation of the experimental results. Steps in Experimentation. The Well-Planned Experiment. Simplicity

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Repeated Measure

Repeated Measure. Ideally, we want the data to maintain compound symmetry if we want to justify using univariate approaches to deal with repeated measures (or to block). This variance-covariance matrix is called type S matrix:.

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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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Describe the Characteristics of an Experiment

Describe the Characteristics of an Experiment . By: Ariel C., Jaylen , JaNai , Arthur, David, and Mars. Definitions .

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Definition . A SAMPLE is a subset of the population.

Definition . A SAMPLE is a subset of the population. We should now consider the first component of an experimental study, c ollecting data The textbook lists four protocols for performing data collection. Two are passive (you just look), two are active (you have to do something ).

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Abstract:

Behavior and welfare of Intramuscular or Subcutaneous injection in finishing pigs and piglets. #TH175 Kimberly Guay, and John J McGlone. Pork Industry Institute, Texas Tech University, Lubbock, TX. Introduction:

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