Sentences with phrase «using error analysis»

Another clear resource to investigate would be from NCTM, Mathematics Teaching in Middle Schools, «Using Error Analysis to Teach Equation Solving,» Dec. 2006 / January 2007, pp 238 - 242.

Strategies for Teaching Whole Number Computation: Using Error Analysis for Intervention and Assessment

This lesson uses an Error Analysis Technique to reteach concepts students d...

Not exact matches

The technical error at the heart of my analysis of neo-Darwinism, says Barr, is my misunderstanding of how the term «random» as used by Darwinian biology.

Ironically, this would mean that, in fact, Whitehead is actually guilty of the error everyone associates with Bergson, while Bergson is a help to prevent the error, and what Whitehead left undone regarding «the commensurability of the two modes of analysis,» Bergson may have accomplished in creating a version of the calculus neither committed to strictly quantitative nor strictly qualitative notions of unity, a method to be used in metaphysics.

Color analysis tools that use old - tech incandescent or LED bulbs need constant recalibration and have up to + / - 4 - point error rate

In addition, the software tool used for nearly two thirds of the meta - analysis calculations contains serious errors that can dramatically underestimate confidence intervals (CIs), and this resulted in at least 1 spuriously statistically significant result.

More recently, researchers started using an improved analysis on the microfossil data in Oregon, and were able to generate subsidence estimates with smaller errors.

In these cases, significant dating errors occur because the type of paper used and the mass / quantity of the ink deposited influence the analysis.

The method uses statistical analyses to identify critical patterns that measure the rate of diagnostic error and could be incorporated into diagnostic performance dashboards.

The retraction notice for «Technical and clinical accuracy of five blood glucose meters: clinical impact assessment using error grid analysis and insulin sliding scales,» published in 2015 in the Journal of Clinical Pathology, hints at the issue:

To gain insight into what brain regions may be driving the relationship between social distance and overall neural similarity, we performed ordered logistic regression analyses analogous to those described above independently for each of the 80 ROIs, again using cluster - robust standard errors to account for dyadic dependencies in the data.

They say analysis of the 30 data points is more informative about likely future emissions than national figures in wider use because it allows errors to be tracked more closely.

Using dual regression and seed - based analyses, we observed significantly decreased FC of the default mode network to 2 regions in the posterior medial cortex (PMC): the posterior cingulate cortex (PCC) and the left precuneus (threshold - free cluster enhancement, family-wise error corrected P < 0.05).

Despite the measurement of key confounders in our analyses, the potential for residual confounding can not be ruled out, and although our food frequency questionnaire specified portion size, the assessment of diet using any method will have measurement error.

I made a careful analysis of the spellings of the 7,000 most used English words and also the spelling errors of children and adults.

Error Analysis for Reflective Instruction Error analysis is an excellent and intentional way to look at the student performance data for patterns and trends, and then use this data to prepare for instruction in an upcoming unit, whether that is a unit next year or neAnalysis for Reflective Instruction Error analysis is an excellent and intentional way to look at the student performance data for patterns and trends, and then use this data to prepare for instruction in an upcoming unit, whether that is a unit next year or neanalysis is an excellent and intentional way to look at the student performance data for patterns and trends, and then use this data to prepare for instruction in an upcoming unit, whether that is a unit next year or next week.

The key is to have them do the thinking and analysis of the effective use of the language, as well as analysis of their own errors.

A short description of how the ASSISTment system was used to support follow - up in - class discussions among preservice teachers is provided, as well as suggestions for producing similar online error analysis items in other content areas.

This article describes how a free, web - based intelligent tutoring system, (ASSISTment), was used to create online error analysis items for preservice elementary and secondary mathematics teachers.

The analyses were replicated for each of the five imputed data sets and the final coefficients and standard errors were merged using Rubin's Rules.

We analyzed data using the LISREL 8.80 analysis of covariance structure approach to path analysis and maximum likelihood estimates.42 We used four goodness - of - fit statistics to assess the fit of our path model with the data: the Root Mean Square Error of Approximation test (RMSEA), the Norm - fit index (NFI), the adjusted Goodness of Fit index (GFI) and the mean Root Mean Square Residual (RMR).

Instead of using the traditional marking procedure for the assessment — simply marking words read incorrectly and counting words read correctly within a one - minute time frame — the presenting teacher showed how she kept track of the actual errors the student made while reading the connected text, in ways that enabled further analysis of phonological deficits (such as a lack of automatic word reading for all multisyllabic words).

Using Bob Greenleaf's micro-feedback analysis framework, our school has been focusing on students» errors and determining strategies to address what they don't understand.

The group in a letter to the Consumer Financial Protection Bureau asks it to address its alleged bias and error in an analysis it uses to determine whether disparate impact, or unintentional discrimination, exists in a lender's portfolio.

To simulate various actively - managed fund tracking errors over thirty years, Professor Sharpe ran a million simulations using Monte Carlo analysis techniques drawing from investment return data since the beginning of the 20th century.

All good processes are inevitably imperfect, but people often forget the alternative is far worse — I'm confident people can initially devise their own checklists that is (say) 80 % complete, and the iteration of regular use & error analysis will then slowly but surely fill in the gaps.

These GEE - GLMs used a Gaussian error distribution with litter as the unit of analysis.

Surely, if you've actually read what we've written on this, you are aware that there are no errors at all in the analysis presented in Steig et al, the problems are only with some restricted AWS stations which were used in a 2ndary consistency check, and not the central analysis upon which the conclusions are based (which uses AVHRR data, not AWS data).

It's not about anthony Watts and his analysis, it's about the method of modeling used to model the observations which reduces the error extent.

This may partly be due to the coverage of sondes used in that analysis being biased to the high latitudes (since the effect of the error was principally in the tropics), or it may be because of undetected biases in the radiosonde network itself.

Has anyone done a Bayesian analysis, which would enable using different error models, and testing out models that, for example, might even cope with intermittently unreliable proxy series, in a principled way?

Understand the statistical quality controls used and how they work, and if you discover a problem site, look at the types of errors it might produce, how they would be identified / treated and what the ultimate post-analysis effect on the conclusions of the analysis might be.

The analysis propagates climate model error through global air temperature projections, using a formalized version of the «passive warming model» (PWM) GCM emulator reported in my 2008 Skeptic article.

Scaling factors derived from detection analyses can be used to scale predictions of future change by assuming that the fractional error in model predictions of global mean temperature change is constant (Allen et al., 2000, 2002; Allen and Stainforth, 2002; Stott and Kettleborough, 2002).

Rahpoe, N., von Savigny, C., Weber, M., Rozanov, A.V., Bovensmann, H., and Burrows, J. P.: Error budget analysis of SCIAMACHY limb ozone profile retrievals using the SCIATRAN model, Atmos.

A very effective method to solve holistic physical problems, is to summarize all of the observations / paradoxes / anomalies related to the subject in question and then use the logic of the observations / analysis / paradoxes / anomalies to appropriately adjust / modify existing mechanisms, to develop new mechanisms, and to correct fundamental errors in theory.

Thus, even with the higher resolution analyses of terrain and land use in the regional domain, the errors and uncertainty from the larger model still persist, rendering the added simulated spatial details inaccurate.

Using misleading graphics based on analysis known to be in error is not acceptable for a scientist.

I would say that this analysis of the apparently large uncertainties created by TOBS errors can not be used either to prove or disprove (C) AGW or any other theory.

Keep in mind there are error bars around this estimate, just as there are in previous studies by Bokyoff using sampling techniques and every other media analysis previously published that uses sampling techniques.

A document describing the algorithm to be used, including the forward and retrieval models, the method of error analysis, and the ancillary data (spectroscopic data, atmospheric parameters) used for the inversion.

As to the distinctions between standard errors of (a) trend coefficient, (b) a point on the trend line used to determine the trend line, and (c) a new point, these are all well known in statistics and appear in any text on regression analysis.

This VAP uses the high correlation in the observed radiance across the spectrum to reduce the uncorrelated random error in the data using principal component analysis (PCA).

It includes a description of bucket collection methods (with pictures of the various buckets in use) as well as an analysis of error / bias in data collection between bucket / intake methods.

An analysis of worldwide data homogenization acknowledged that a procedure is needed to correct real errors but concluded «Homogenization practices used until today are mainly statistical, not well justified by experiments and are rarely supported by metadata.

With respect to analytic results, «capable of being substantially reproduced» means that independent analysis of the original or supporting data using identical methods would generate similar analytic results, subject to an acceptable degree of imprecision or error.

His 1924 article «On a distribution yielding the error functions of several well known statistics» presented Karl Pearson's chi - squared and Student's t in the same framework as the Gaussian distribution, and his own «analysis of variance» distribution z (more commonly used today in the form of the F distribution).

The intrigue of the who - dunnit is interesting; however, what I would like to know is whether this is a potentially serious error (ie the hybrid record was used in the analysis) or trivial (but sloppy) error (ie the data was not used but was included on a table).

Ignoring the many petty errors made, the analysis may well identify an error, that is an omission within insolation calculations used in climatology.