Sentences with phrase «variance analysis in»

Monitored project progress and performed variance analysis in comparison with the schedule baseline.

Prepared financial reports, developed processes, and performed variance analysis in accordance with business plan using Excel, Oracle Discoverer and Oracle Financial Reporting.

Not exact matches

TMA / SDTA 1 Thermomechanical analysis - examination of dimensional changes as a function of temperature and viscoelastic behavior as a result of variance in the applied force.

In their analysis of data from 1423 Swedish women who were studied from 2.5 to 12 mo postpartum, lactation score was significantly associated with weight retention, but it explained little of the variance in PPWIn their analysis of data from 1423 Swedish women who were studied from 2.5 to 12 mo postpartum, lactation score was significantly associated with weight retention, but it explained little of the variance in PPWin PPWR.

The authors note that while the sample size of the meta - analyses was large (123,132 to 260,861 participants in different studies), they used only GWAS summary statistics and can not estimate all genetic variance factors; some studies also used different methodologies.

Incorporating protein and mRNA turnover data in this analysis, the results from Li et al. suggest that mRNA levels explain ~ 81 % of the variance in protein levels, transcription 71 %, RNA degradation 10 %; translation 11 %; and protein degradation 8 %.

Practically every scientist uses statistics — from pharmacologists employing regression to understand the relation between the dose of a drug and its effects in the body, to agronomists using analysis of variance to test which fertilizer makes crops grow fastest.

Complementary information to the Arctic warming analysis would be using DWT's of the few left Upper Air stations in the Circumpolar zone and crunch up temperature trends of the entire atmosphere, when variances from year to year are very small, but are mostly for the warmer.

Genome - wide analysis of variance (ANOVA) revealed that germline SNPs / CNVs and somatic CNAs influenced > 39 % of gene expression probes, roughly half acting in cis and half in trans.

Statistical analysis of One - way Analysis of Variance (ANOVA) and Two - way Analysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in dupanalysis of One - way Analysis of Variance (ANOVA) and Two - way Analysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in dupAnalysis of Variance (ANOVA) and Two - way Analysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in dupAnalysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in duplicates.

An analysis of variance of group differences in pre - to post-intervention changes in plasma Aβ40 levels was significant (P < 0.05; Supplementary Table S9).

The analysis of variance for group differences in the ratio of Aβ42 / Aβ40 was significant (P < 0.001; Supplementary Table S9).

The analysis of variance of group differences in change scores was marginally significant (P < 0.08; Supplementary Table S9).

A one - way analysis of variance (ANOVA) was used to assess variations in the time spent by fish in the focal region or in each compartment of the focal region (front, B1, B2, B3, and B4 for the Top view and top, middle, and bottom for the Side view, respectively) among the experimental conditions.

Statistical analyses were made using either Student's two - tailed unpaired t test or analysis of variance (ANOVA) as specified in the figure legends, and Newman - Keuls procedure was used for multiple comparison analysis.

Exposing stats illusions Shalizi warns «causal - sounding phrases... encourage confusion» in many analyses of variance studies (where «due to,» «explained by,» «account for» don't have ordinary meanings).

Interestingly, the influence of APOE ɛ 4 varied as the disease progressed; APOE ɛ 4 was associated with longitudinal FC decreases only for HCs in the single variance - based analyses and deteriorated DMN integration in nc - MCIs by combining the effects of other loci.

Trenberth et al. (2005b) showed that the SAM is the leading mode in an EOF analysis of monthly mean global atmospheric mass, accounting for around 10 % of total global variance.

In multivariate analysis for various combinations of age, sex, and measures of fat distribution, WHR accounted for 28 % and IAF for 51 % of the variance in SI, whereas age, sex, and interactions of age and sex accounted for only 1 In multivariate analysis for various combinations of age, sex, and measures of fat distribution, WHR accounted for 28 % and IAF for 51 % of the variance in SI, whereas age, sex, and interactions of age and sex accounted for only 1 in SI, whereas age, sex, and interactions of age and sex accounted for only 1 %.

The proteins considered in the unsupervised hierarchical clustering analysis were quantified in individual samples and found to be significantly different in abundance by analysis of variance (ANOVA p ≤ 0.01, Table S3); while PCA analysis considered all proteins quantified in each individual sample.

Assay, sample and side - to - side variation were quantified by analysis of variance and presumptively incorrect decisions related to high - risk disease were determined using the result from each MRD assay, the mean MRD in the patient as the measure of the true value, and each of 3 different MRD cut - off levels which have been used for making decisions on treatment.

A 2 - way analysis of variance (condition × time) with repeated measures was performed on all dependent variables recorded in the precondition and postcondition tests.

A 2 - way analysis of variance (ANOVA) with repeated measures (time) was performed on all dependent variables recorded in the precondition and postcondition tests (SPSS).

Summary estimates were calculated using a general variance - based method (random - effects model) with 95 % CIs.19 Because the potential confounders considered in multivariate analyses vary across studies, we used the parameter estimates in the most complex model, which typically include demographic, lifestyle, and dietary factors.

In this course, students will learn how to use a set of quantitative methods referred to as the general linear model — regression, correlation, analysis of variance, and analysis of covariance — to address these and other questions that arise in educational, psychological, and social researcIn this course, students will learn how to use a set of quantitative methods referred to as the general linear model — regression, correlation, analysis of variance, and analysis of covariance — to address these and other questions that arise in educational, psychological, and social researcin educational, psychological, and social research.

In simplest terms, the statistical procedure of the Coleman Report relies on a problematic stepwise analysis of variance approach, which makes strong assumptions about which factors are fundamental causes of achievement and which are of secondary significance.

In the meta - analysis, grit accounts for about 3 percent of the variance in academic achievement outcomes when it is examined as a single predictoIn the meta - analysis, grit accounts for about 3 percent of the variance in academic achievement outcomes when it is examined as a single predictoin academic achievement outcomes when it is examined as a single predictor.

There is some evidence for this, but the OECD analysis finds that student socioeconomic status only explains 15 % of the variance in test results.

Russ makes three arguments: 1) A recent study that compared grit scores among fraternal and identical twins suggests that grit may be heritable to a large degree, which would make it unrealistic to expect schools or others to be able to alter it; 2) The twin study as well as a meta - analysis of grit research found that grit only explains about 2 - 3 % of the variance in achievement scores, which Russ thinks makes it a poor predictor of other outcomes; and 3) The meta - analysis suggests that grit may be highly correlated with conscientiousness, one of the Big 5 personality traits that psychologists have been studying for a long time.

«Overall, results from the analyses indicate that between approximately 24 per cent and 43 per cent of the variance in written composition was explained by the three language convention measures and that spelling was the main predictor of written composition for each cohort.

For the purposes of our analysis, scores were standardized by subject, grade, and year to have mean zero and unit variance in the population of students attending Massachusetts public schools.

The regression analyses used to generate fitted values are weighted by the inverse of each observation's estimated variance to account for differences in the number of respondents from each state; unweighted regressions yield substantively similar results.

Andreas Schleicher, who heads OECD's indicators and analysis division, says the highest - performing countries apply rigorous academic standards, recruit and train topnotch teachers, dig deeply into the subject matter, and allow little variance in performance by the highest - and lowest - performing schools.

The HLM analysis of spring writing scores among second - through sixth - graders (see Table 9) revealed that the school - level factor of collaborative leadership accounted for 25 % of the variance in students» spring writing after accounting for fall scores.

Our HLM analysis revealed that the school - level factor of collaborative leadership accounted for 29 % of second - through sixth - graders» variance in spring fluency scores (number of words read correctly in one minute), after accounting for fall scores.

The HLM analysis (see Table 16) for grade 1 (175 students and 25 teachers) revealed that after accounting for fall scores, 32 % of the variance in spring comprehension scores was between teachers.

For grades 2 - 3, the HLM analysis on data from 348 students and 50 teachers (see Table 20) revealed that after accounting for fall scores, 33 % of the variance in spring writing scores was between teachers.

The HLM analysis (see Table 13) for grade 1 (188 students and 27 teachers) revealed that after accounting for fall scores, 41 % of the variance in spring fluency scores was between teachers.

For spring letter - name knowledge, the HLM analysis on data from 184 students and 26 teachers revealed that after accounting for fall scores, teachers accounted for 38 % of the variance in students» spring scores.

For grades 2 - 3, the HLM analysis on data from 380 students and 53 teachers (see Table 17) revealed that after accounting for fall scores, 29 % of the variance in spring comprehension NCE scores was between teachers.

The HLM analysis (see Table 19) for grade 1 (163 students and 24 teachers) revealed that 33 % of the variance in spring writing scores was between teachers, after accounting for fall scores.

For grades 4 - 6, the HLM analysis on data from 395 students and 56 teachers (see Table 18) revealed that after accounting for fall scores, 39 % of the variance in spring comprehension scores was between teachers.

For research questions 2, an analysis of variance (ANOVA) was used to identify students» procedural knowledge in areas of fraction concepts and whether there was a significant difference on posttest results between the experimental and control group students» correct answers.

Three analyses were conducted with the cross-sectional data using teachers» WSS ratings of student achievement and students» WJ - R standard scores: a) correlations comparing the students» standard scores on the various subtests of the WJ - R and the WSS checklist and summary report ratings of student achievement within the corresponding WSS domains, b) four - step hierarchical regressions examining the different factors that accounted for the variance in students» spring WJ - R scores, and c) Receiver - Operating - Characteristic (ROC) curves, which make possible a determination of whether a random pair of average and below - average scores on the WJ - R would be ranked correctly in terms of performance on the WSS.

Some of the statistics assignment topics in which we have assisted students are: Standard deviation, analysis of variance, binomial distribution, tree diagram, simplex method, vital statistics, operations research, game theory, normal distribution, skewness and many other.

Analysis of the temperature record can be attempted in a way that tries to attribute the variance to signals as opposed to noise.

Complementary information to the Arctic warming analysis would be using DWT's of the few left Upper Air stations in the Circumpolar zone and crunch up temperature trends of the entire atmosphere, when variances from year to year are very small, but are mostly for the warmer.

Principal Component Analysis is a translation of the data so the new origin is the mean and then a rotation so that the first axis is in the direction which explains the largest amount of variance, the second axis is the axis orthogonal to the first that explains the largest amount of the remaining variance, the third is the axis orthogonal to the first two that explains the largest amount of what remains and so on.

However, a quick analysis (right) indicates that the explained variance in the record (smoothed over 25 years) correlated to the 14C - production function (a slightly cleaner solar proxy than the resdiual atmospheric 14C (Muscheler et al, 2005 — see comment / link below)-RRB- is only about 5 %.

In fact, there's a wonderful variant of PDM based on the analysis of variance, developed for astronomy, which not only gives excellent results, it's also optimized for statistical efficiency and minimum computational workload (which really helps when analyzing terabyte databases such as come from modern satellite missions).