Sentences with phrase «variance analyses between»

Tasks included on sample resumes of Senior Accountants include preparing monthly expense variance analyses between actual, budget and forecast amounts, and reconciling and analyzing balance sheet and income statement accounts.

Not exact matches

If large variances exist between an investor's independent analysis and a company's depiction, further study should be done to either reconcile differences or confirm a company's mischaracterization of its customer base.
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.
Associations between continuous AQUA scores and clinical / pathological parameters were assessed by analysis of variance.
A 2005 meta - analysis study on BMR * showed that when controlling all factors of metabolic rate, there is still a 26 % unknown variance between people.
Variance analysis The variance analysis is the comparison between budget and expenditure and this again may vary between different sets of management aVariance analysis The variance analysis is the comparison between budget and expenditure and this again may vary between different sets of management avariance analysis is the comparison between budget and expenditure and this again may vary between different sets of management accounts.
«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.
To investigate the relationship between school effectiveness and classroom instruction, we initially conducted a multivariate analysis of variance (MANOVA) with the school effectiveness rating serving as the independent variable and eight teacher variables serving as outcome measures (see Table 11).
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 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.
A regression analysis points to a clear link between GCR and the aa - index, and the analysis of variance yields R2 = 0.1466 and the p - value = 0.
The overlapping decadal data groups used to determine the slow temperature variance are defined similarly to the analysis in the paper but are centered on the years 1858,..., 2008, with 15 years between successive group centers.
Karspeck et al (submitted) analyse the residual difference between the observations and the Kaplan et al. (1997) analysis using local non-stationary covariances and then draw a range of samples from the analysis posterior distribution in order to provide consistent variance at all times and locations.
Our comparison of tree ring - based drought analysis and records from the tropical Pacific Ocean suggests that changing variability in El Niño Southern Oscillation (ENSO) explains much of the contrasting variances between the MCA and LIA conditions across the American Southwest.
The data were analysed using a 2 (framing: loss vs. foregone - gain) × 3 (social norm: control vs. average - norm vs. rank - norm) between - participants Analysis of Variance (ANOVA [37]-RRB- performed using the anova function from the CAR package in the statistical computing software R (used for all subsequent statistical analyses).
Developed budget estimates and prepared monthly analysis detailing variance between budget and actuals.
Resolved 1.5 % variance between Sale and General Ledger reporting through forensic analysis of SSIS packages.
Accounts Payable and Financial Administration Professional — Duties & Responsibilities Develop and maintain a strong and extensive working knowledge of various related accounting principles, regulations, and applications, continuously utilizing changes to business accounting landscape within current responsibilities Apply various accounting rules and GAAP procedures to critical functions, including the review and approval of journal entries, data and financial reconciliations, cash flow and discrepancy analyses, transaction management, and other tasks Provide relevant oversight and administration to all aspects of accounts payable execution, including billing and collections, vendor file maintenance, reporting, order processing, data and financial accuracy audits, and invoice management Perform regular account and payables reconciliations and variance resolutions to ensure accurate financials and provide continuous relevant insight into the financial health of the company Manage important and sensitive financial documents, receipts, correspondence, and invoices on a daily basis, providing organization for audit assistance and execution as well as compliance with various accounting standards Perform analysis, research, and evaluation of current administrative and accounting policies and procedures, implementing change where necessary to drive corporate efficiency, manage costs, and drive revenue Facilitate the efficiency and implementation of all accounting operations from concept to execution, while coordinating actions on all daily operational and logistical aspects from corporate financial management Utilize technological resources, including software and accounting applications, to track all aspects of accounts payable and other financial operations as well as prepare important and sensitive cost, billing, and revenue documents Collaborate with respect to effective communication between all departments, including general accounting and administrative personnel, and coordinate all daily business operations with leadership staff Address client, vendor, and management queries, resolving them in an expedited manner Assist management with various other duties as assigned to facilitate efficient administration and operations
Accounting and Financial Administration Professional — Duties & Responsibilities Develop and maintain a strong and extensive working knowledge of various accounting principles, regulations, tax codes, and applications, continuously applying changes to accounting landscape to current responsibilities Apply various accounting rules and procedures to critical tasks, including the review and approval of journal entries, data and financial reconciliations, balance sheet and income statement accounting, cash flow analyses, account collections, capital utilization and on - going budgetary considerations Provide relevant oversight and administration to all aspects of business finance, including billing and collections, payroll execution, vendor relationships, payroll and salary management, and other pertinent functions Perform regular book reconciliations and variance resolutions to ensure audit - ready financials and provide continuous relevant insight into the financial health of the company, in both a regular and ad - hoc manner, to company management Manage important and sensitive financial documents, receipts, and invoices on a daily basis, providing organization for audit assistance and execution as well as compliance with various accounting standards Perform analysis, research and evaluation of current accounting policies and procedures, implementing change where necessary to drive corporate efficiency, manage costs and drive revenue Facilitate the efficiency and implementation of all accounting operations from concept to execution, while coordinating actions on all daily operational and logistical aspects from corporate financial management to payroll Utilize technological resources, including software and accounting applications, to track all aspects of firm accounting and financial operations as well as prepare important and sensitive tax documents related to all aspects of organizational operations Collaborate with respect to effective communication between all departments and coordinate all daily business operations with other leadership staff and other personnel Work closely with and support senior - level management in budgeting and corporate planning strategies Address client, vendor, and management queries, resolving them in an expedited manner Assist management with various other duties as assigned to facilitate efficient administration and operations, making appropriate and effective recommendations with respect to performance optimization
Researchers suggest that meta - analysts calculate a tolerance level around a fail - safe N that is equal to 5 times the number of effects included in the meta - analysis plus 10 (the «5k + 10» benchmark).18, 19 Moreover, the association between the standardized effect sizes and the variances of these effects was analyzed by rank correlation with use of the Kendall τ method.
In bivariate analyses, we used 2 - way analysis of variance and χ2 tests of association to examine relationships between exposures, outcomes, and potential confounders.
A χ2 test or analysis of variance was used to evaluate the association between exposure to movie smoking and each of the covariates.
Results: Regression analyses indicated that the interaction between relationship strengths and family stress explained 45 % of the variance in psychological symptoms.
Doses of drugs over the trial were converted to mean daily equivalents of chlorpromazine and compared across groups by means of Kruskal - Wallis one way analysis of variance; this indicated no significant differences between treatment groups (medians of daily drugs in chlorpromazine equivalents: cognitive behaviour therapy 425, supportive counselling 517.75, routine care 450; χ = 0.963; P = 3D0.62).
Differences between the three treatment groups were assessed with χ, one factor analysis of variance, and the Kruskal - Wallis test when appropriate.
The associations between coping resources, realized coping behaviors, quality of life, pain - related factors and socio - demographic characteristics were examined using analyses of variance.
Analysis strategy — We use analysis of variance over time, covarying for age and sex, to test for an interaction between time and arm oAnalysis strategy — We use analysis of variance over time, covarying for age and sex, to test for an interaction between time and arm oanalysis of variance over time, covarying for age and sex, to test for an interaction between time and arm of trial.
Again, our analysis exposed significant variances, even between Judges presiding over cases in the same County.
An analysis of variance demonstrated significant mean differences in egalitarianism between groups regarding reading and interpretation of religious scripture (p <.006) with the largest difference, as indicated by Tukeys HSD, between those who interpret scripture literally (least egalitarian), and those who do not read scripture at all (most egalitarian).
A one - way analysis of variance indicated significant mean differences in egalitarianism between groups on the DTAS (p <.0001).
Within each country, a mixed between - within subjects analysis of variance was conducted to examine the effect of relationship type (spouse, mother, best friend) and participant sex on perceived ideal communal strength for each relationship type.
Furthermore, the analyses showed that job satisfaction, social support, and ways of coping explain between 24 % and 38 % of the variance in subscales of marital satisfaction.
The choice of multiple t - tests for analysis of the outcome data is considered appropriate, although a simple two - way analysis of variance would have been a better choice and could have examined simultaneously the effects of the treatments on outcome measures and the differences between pre - and post-treatment measurements.
In hierarchical regression analyses with the various ENRICH factor scores as dependent variables and job satisfaction as the independent variable in the first block, the two SSQ factors in the second block, and the WOC factors in the third block, between 24 and 38 % of the variance in seven of the nine ENRICH factors (not significant model for «Family & Friends» and «Marriage & Children») could be explained by the variation in all the independent variables with varying weight of the several independent variables (Table 3).
All analyses will be undertaken using mixed - model repeated measures analysis of variance, with measurement occasion as a within - groups factor, and experimental group as a between - groups factor.
After establishing the different groups by cluster analysis, analyses of variance (ANOVAs) were carried out in order to analyze the statistical significance of between - group differences in parenting practices.
A multi-group analysis was performed to compare four growth parameters (intercept mean, slope mean, intercept variance, and slope variance) between the Home - Start and the comparison group.
An analysis of variance (ANOVA) showed significant main effects of maternal prenatal smoking and a significant interaction between maternal prenatal smoking and mother's history of antisocial behavior in the prediction of children's probability to display high and rising physical aggression.
Results were subjected to (1) correlation analyses that examined associations among the EF measures, (2) multivariate analysis of variance that compared EF performance between the preterm / ELBW group and the full - term group as a function of age, and (3) correlation and regression analyses that evaluated the main and interactive effects of the biomedical variables and SES on EF scores within the preterm / ELBW group.
Most comparisons of QOL between regimens have compared values before and after initiating pump use with t - tests or analyses of variance and have not considered trajectories of change during the transition or factors contributing to the changes that were found (Cogen et al., 2007; Juliusson et al., 2006; McMahon et al., 2004), leaving much unknown about youths» and families» experiences over this period.
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