Now, however, it has been reinforced by continuing observations and
improved statistical tests.
Not exact matches
The American
Statistical Association concluded recently that teachers account for about 1 per cent to 14 per cent of the variability in
test scores, and that the majority of opportunities for quality improvement are found in system - level conditions.4 In other words, most of what explains student achievement is beyond the control of teachers or even schools, and therefore arguing that teachers are the most important factor in
improving the quality of education is simply wrong.
Because of the
improved estimation enabled by HLM, including the use of maximum likelihood and empirical Bayes estimates, interpretation of
statistical results can be broadened to include a larger p - value associated with
statistical tests.
The authors assess how different covariates contribute to
improving the
statistical power of a randomization design and examine differences between math and reading
tests; differences between
test types (curriculum - referenced
tests versus norm - referenced
tests); and differences between elementary school and secondary school, to see if the
test subject,
test type, or grade level makes a large difference in the crucial design parameters.
Specific provisions included scholarships and loans to students in higher education, with loans to students preparing to be teachers and to those who showed promise in the curricular areas of mathematics, science, engineering, and modern foreign languages; grants to states for programs in mathematics, science, and modern foreign languages in public schools; the establishment of centres to expand and
improve the teaching of languages; help to graduate students, including fellowships for doctoral students to prepare them to be professors at institutions of higher learning; assistance for the improvement of guidance, counseling, and
testing programs; provisions for research and experimentation in the use of television, radio, motion pictures, and related media for educational purposes; and the improvement of
statistical services at the state level.
I have added my own thoughts as to how to
improve the power of Professor Aronson's
statistical tests.
The present scope includes accurately monitoring column ozone with Dobson spectrophotometers globally, monitoring the ozone profile at key sites, monitoring all relevant chlorine - and bromine - containing compounds globally,
improving and developing new instrumentation, conducting laboratory studies of newly proposed chemicals, and using
statistical models to
test the observations for signs of ozone layer recovery.
Design, analyze and
test statistical data models in order to
improve knowledge base and business intelligence.
• Hands - on experience in developing and implementing analytic and mathematical models for
testing supply chain sequences • Highly skilled in designing, developing and adapting
statistical and econometric techniques to analyze supply chain management problems and roadblocks • Effectively able to determine and implement strategic plans to ensure prompt problem resolution • Skilled in performing researching activities to and economic analysis and initiating new studies • Proven ability to develop and implement risk mitigation plans to ensure smooth supply chain operations • Track record of defining and implementing metrics to enable effective sourcing and supplier performance management • Deep insight into key performance indicators (KPIs) that measure and
improve sourcing and supply chain performance • Competent at utilizing influence management skills to negotiate movement of products in order to meet bulk deal demands • Proficient in reporting n field cycle count processes in sync with regulatory requirements of the company • Proven ability to manage established inventory levels in accordance to inventory levels dictated by set business models
Expertise in
statistical analysis: Statistical Process Control (SPC); in the design and analysis of experimental plans and monitoring of test results to improve manufacturing processes and quality
statistical analysis:
Statistical Process Control (SPC); in the design and analysis of experimental plans and monitoring of test results to improve manufacturing processes and quality
Statistical Process Control (SPC); in the design and analysis of experimental plans and monitoring of
test results to
improve manufacturing processes and quality assurance.
Hazeltine Corporation, US Dynamics Corporation (New York, NY) 1986 — 1995 Manager / Supervisory Engineer Program and Software Quality Assurance • Managed and budgeted for Program and Software Quality Assurance department of 24 personnel • Trained quality engineers and testers conducing software
testing (load
test, regression test, and Performance Test) • Reviewed operation sheets, developed test plans, and inspection instructions for defense electronics and computing products • Performed statistical process control for automated component insertion, web soldering process, and software testing • Led product support team, material review boards, and responded to quality deficiency report • Increased productivity and reduced cost by improving processes and training personnel • Investigated cause of product quality deficiency, provided corrective actions, and performed vendor certifica
test, regression
test, and Performance Test) • Reviewed operation sheets, developed test plans, and inspection instructions for defense electronics and computing products • Performed statistical process control for automated component insertion, web soldering process, and software testing • Led product support team, material review boards, and responded to quality deficiency report • Increased productivity and reduced cost by improving processes and training personnel • Investigated cause of product quality deficiency, provided corrective actions, and performed vendor certifica
test, and Performance
Test) • Reviewed operation sheets, developed test plans, and inspection instructions for defense electronics and computing products • Performed statistical process control for automated component insertion, web soldering process, and software testing • Led product support team, material review boards, and responded to quality deficiency report • Increased productivity and reduced cost by improving processes and training personnel • Investigated cause of product quality deficiency, provided corrective actions, and performed vendor certifica
Test) • Reviewed operation sheets, developed
test plans, and inspection instructions for defense electronics and computing products • Performed statistical process control for automated component insertion, web soldering process, and software testing • Led product support team, material review boards, and responded to quality deficiency report • Increased productivity and reduced cost by improving processes and training personnel • Investigated cause of product quality deficiency, provided corrective actions, and performed vendor certifica
test plans, and inspection instructions for defense electronics and computing products • Performed
statistical process control for automated component insertion, web soldering process, and software
testing • Led product support team, material review boards, and responded to quality deficiency report • Increased productivity and reduced cost by
improving processes and training personnel • Investigated cause of product quality deficiency, provided corrective actions, and performed vendor certification