'Experimental unit' presentation slideshows

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:

678 views • 51 slides

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.

660 views • 50 slides

Randomized Blocks, Latin Squares, and Related Designs

647 views • 37 slides

Chapter 12

433 views • 34 slides

Elementary Statistics

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

738 views • 34 slides

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.

498 views • 33 slides

Lecture 2: Replication and pseudoreplication

1.15k views • 32 slides

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.

546 views • 29 slides

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:

649 views • 24 slides

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).

323 views • 21 slides

Two-way ANOVA problems

347 views • 21 slides

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.

264 views • 17 slides

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

488 views • 16 slides

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.

283 views • 16 slides

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

535 views • 15 slides

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:.

435 views • 15 slides

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.

284 views • 13 slides

Describe the Characteristics of an Experiment

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

161 views • 6 slides

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 ).

230 views • 6 slides

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:

168 views • 1 slides