Prepared quarterly financial statements and assisted in
variance analysis which highlighted opportunities for higher profits.
Not exact matches
The more traditional approach,
which developed out of mean
variance analysis some fifty years ago, tailors an individual's portfolio to his or her age, young investors should take more risk with stocks, and attitudes toward risk, conservative investors should hold more cash.
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.
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.
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 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.
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.
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.
The modal breed group (bull breeds,
which includes all breeds derived from the molasser breed, Staffordshire Bull Terriers, Mastiffs and mixed bull breeds: as classified by the shelter staff using criteria from the UK Kennel Club) was chosen for
analysis to minimise the
variance associated with breed differences, and totalled 29 dogs.
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.
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).
Suppose you had a synthetic system constructed as uniformly increasing local
variance over a uniform trend and tried to estimate the trends regionally using an
analysis which did not assume a uniform trend.
The IPCC's methodology relies unduly — indeed, almost exclusively — upon numerical
analysis, even where the outputs of the models upon
which it so heavily relies are manifestly and significantly at
variance with theory or observation or both.
• Perform month - end consolidation activities such as accounting for foreign branches and cash flow entries • Oversee the development of monthly management reporting packages including identifying critical forecast gaps • Perform in - depth
analysis to ensure completeness and accuracy of statistical data • Evaluate correlation among statistical data and summarize findings across clients and products • Analyze both current and past financial data and performance to help make informed decisions for the future • Explore investment opportunities and provide feedback to management to help them decides
which ones to explore further • Create and maintain effective communication with key members to provide information regarding financial closings and deliverables • Research and prepare
variance analysis and explanations and report deliverables
Results: Principle component
analysis of the PSS showed that the scale consisted of 2 factors,
which explained 52 % of
variance.
This finding is strengthened by the
analysis of the predictive validity,
which highlights that the CERS - M accounts for less than 2 % of problem - solving performance
variance (Table 9).
In terms of validity, we make a factor
analysis of the variables and delete the measurement
which the factor loading is less than 0.4 to make the average
variance extracted (AVE) reach more than 0.5, and it shows that the convergent validity of each variable meets the requirements.
Given the new sample in Study 4, maximum likelihood
analyses with Varimax rotation forced 5 factors
which accounted for 53 % of the sample
variance.
Maximum likelihood exploratory factor
analysis from administration in this sample indicated the items loaded on one factor,
which accounted for 51 % of the sample
variance.
RESULTS: Exploratory factor
analyses support a three - factor structure explaining 53.44 % of the
variance and confirmatory factor
analyses validate that the measuring tool reflects three distinct factors,
which are 1) compliance with safety rules and procedures, 2) participation and initiatives related to prevention, and 3) concern for social and physical environment.
Exploratory Factor
Analysis retained the original one - dimensional factor structure of PLS
which explained 64.2 % of the common
variance.
To address this goal, we adopted a Confirmatory Factor
Analysis (CFA) approach (see Figure 1)
which allowed us to partition each measured (manifest) variable into three components: (1)
variance that is common to all relationships, (2)
variance that is unique to a specific relationship, and (3) measurement error.
Results: Three factors were extracted using principal component
analysis,
which explained 60.5 % of... the
variance.
Three nested models with increased degrees of constraint were compared in multigroup
analyses (fathers versus mothers): We specified a first model of configural invariance, in
which the parameters (factor loadings, item intercepts, residual
variances, factor
variances, and covariance) were freely estimated in each group, whereas the factor means were constrained to zero in both groups.