'Good estimate' diaporamas de présentation

Sample size and study design

Sample size and study design. Brian Healy, PhD. Comments from last time. We did not cover confounding Too much in one class/Not enough examples/Superficial level

925 views • 55 slides

Learning Science/Mathematics by Doing Science/Mathematics

810 views • 53 slides

The standard error of the sample mean and confidence intervals

The standard error of the sample mean and confidence intervals. How far is the average sample mean from the population mean? In what interval around mu can we expect to find 95% or 99% or sample means. An introduction to random samples.

728 views • 37 slides

Software Estimation: What, Why & How

678 views • 36 slides

Single Column Model representation of RICO shallow cumulus convection

Single Column Model representation of RICO shallow cumulus convection. A.Pier Siebesma and Louise Nuijens, KNMI, De Bilt The Netherlands And all the participants to the case. Many thanks to: All the participants. Main Questions.

484 views • 34 slides

Science EOG Preparation

Science EOG Preparation. Mrs. Crumpler Irwin Academic Center 2013-2014. General Tips for Taking Science Tests . Read each question carefully Take a close look at any picture, graph, or table that appears with the question. Read each answer choice carefully.

387 views • 30 slides

Simulation

367 views • 18 slides

ENSDF Analysis and Utility Codes

ENSDF Analysis and Utility Codes. Presentation for the ICTP-IAEA Workshop on Nuclear Structure and Decay Data: Theory and Evaluation Trieste-08 Jagdish K. Tuli (For Thomas W. Burrows). ENSDF Analysis and Utility Codes. Platforms Overview of the Programs

379 views • 18 slides

Valuation and Reporting of Receivables and Inventory

Valuation and Reporting of Receivables and Inventory. Chapter 6. Uncollectible Receivables. The matching principle requires that the expense related to uncollectible receivables must be recorded in the same period as the related revenue Often requires an estimate of uncollectible receivables

343 views • 14 slides

Variability

Variability. Chapter 4. What is it?. How much difference there is from person to person How spread out scores are No variability = all scores are the same. Why do we care?. Less variability = more know about the population based on the sample

479 views • 12 slides

153 views • 5 slides

Estimation

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Estimation

175 views • 3 slides