Statistician. Shall work under the direction of the Graphics coordinator and/or talent to provide statistical information for the Graphics Coordinator and/or talent that pertains to the event as necessary to inform the talent and/or help build graphics for the broadcast. The Statistician should have the knowledge and the ability to research game information as it pertains to the event.
Statistician. Xxxxx work under the direction of the Graphics coordinator and/or talent to provide statistical information for the Graphics Coordinator and/or talent that pertains to the event as necessary to inform the talent and/or help build graphics for the broadcast. The Statistician should have the knowledge and the ability to research game information as it pertains to the event.
Statistician. The Contractor shall assign a Statistician with the following qualifications for all work requiring statistical analyses. Minimum Qualifications:
a) The ability to interface statistical analysis successfully with marine resources work
b) Demonstrated experience as primary statistical advisor for at least 1998 hours and on at least ten (10) projects as indicated by resume
c) Demonstrated experience with statistical software packages such as SAS and/or SYSTAT (experience may be documented by coursework, certification, or experience)
d) Demonstrated experience working with GIS professionals on the implementation and interpretation of geospatial analyses
e) A full range of professional statistical knowledge in natural resources that is demonstrated by coursework and/or the projects they have advised, including:
i. Sampling, collecting, computing, and analyzing biological data.
ii. Experimental design experience related to sample selection, sample size, and required accuracy/power determinations.
iii. Demonstrated ability to apply and appropriately interpret measures of central tendency, measures of dispersion, parametric and non-parametric hypothesis tests, goodness of fit tests, re-sampling, bootstrapping and randomization methods, and how to interpret the differences in outcome between the types of testing.
iv. Use and interpretation of principal components analysis/factor analysis (PCA/ordination), and discrimination analyses, and the differences between them.
v. An understanding of the effect of scale on geospatial statistical outcomes and the appearance of relationships, including the ability to identify if spatial occurrence is different from random or expected spacing.
vi. Ability to use these techniques to interpret data and display them to adequately summarize data and support conclusions for the end user. Minimum Training/Education: At least one (1) of the following two (2) qualifications:
a) Bachelor’s in a statistical field (including statistics, applied mathematics, biometry) with a primary focus in mathematical ecology, biometry, or bio-statistics.
b) A graduate school degree in natural resources with research that had major mathematical ecology, biometry, or bio-statistics components.
Statistician. Purpose: To increase family access to quality child care services. Project personnel are also engaged in a process of accessing administrative data to inform the study and Date: July 19, 2023 identification mediators and moderators that impact the quality of child care and early experiences for children and families. Welsh (PI) 07/2010-06/2011 South Carolina Department of Social Services Purpose: Using a reflective approach to help programs identify goals and develop strategies to achieve high quality care, this project supports infant and toddler teachers by offering comprehensive on-site training and technical assistance based in the PITC philosophy at no cost to eligible child care centers and family child care providers. Brown (PI) 06/01/2010-05/31/2011 DRAFT State of South Carolina Education Oversight Committee Evaluation of the Four-Year-Old Pre-Kindergarten Expansion Role: Statistical Consultant Purpose: The primary goal of this project is to evaluate the expansion of early childhood education services to four-year-old children at risk for school failure. 2020 Gamecocks Stand Up Hero Award, University of South Carolina, Student Health Services 2020 Meritorious Service Award, University of South Caroline, Office of the President 2017 Two Thumbs Up Award, University of South Carolina, Office of Student Disability Services 2016, 201 2014 - 201 Dean Travel Award, University of South Carolina, College of Social Work National Institutes of Health, Loan Repayment Program Award in Health Disparities Research, National Institute on Minority Health and Health Disparities (NIMHD) Date: July 19, 2023 2014 Early Career Award in Service, University of South Carolina, College of Education 2014 Distinguished Paper Award, South Carolina Educators for the Practical Use of Research 2013 Division D Early Career Award in Measurement and Research Methodology – Quantitative Methods and Statistical Theory, American Educational Research Association 2011 Early Career Award in Research, University of South Carolina, College of Education SAS Global Forum Faculty Scholar, SAS Institute DRAFT 2010 Funded Training: Data Mining for Educators (Track II), Invitation Only, SAS Institute 2009 Funded Training: Data Mining for Educators (Track I), Invitation Only. SAS Institute 2009 Funded Training: AERA Institute on Statistical Analysis for Education Policy, Competitive Application Process, American Educational Research Association 2008 Honorable Mention, Survey Research Method Section...
Statistician. The Statistician is accountable to and elected by the Board of Governors at the league AGM, for a term of one
Statistician. Please use ONET title 15-2041 Statistician. IT Specialist: Please use ONET titles 15-1071 Network and Computer System Administrator or 15-1081 Network Systems and Data Communication Analyst.
Statistician. Purpose: The major goal of this project is to determine the relationship between word learning and language and reading skills in a longitudinal study of children with specific language impairment, dyslexia, or typical development, from second to fourth grade. Freedman, Sehgal (PIs) 7/01/2015 – 05/31/2019 NIDDK/NIH (R01 mechanism) Date: July 19, 2023 Purpose: This quasi-experimental rapid-response study will evaluate the effect of a new food hub opening in a low-income, urban community that is currently defined as a food desert. The study will evaluate the impact of the food hub on changes in diet among people living near the food hub. Flory (PI) 9/30/2015-09/29/2017 Centers for Disease Control and Prevention Purpose: The primary goal of this project is to describe the prevalence and co-occurrence of internalizing, externalizing, and tic disorders among children and adolescents (grades K-12) within a defined population Sharpe (PI) 08/15/2013–07/31/2017 NIH (R01 mechanism) DRAFT Purpose: Evaluate the impact of a food hub in a food desert community on dietary intake, healthy food access, and body weight using a quasi-experimental design. Zarrett (PI) 04/11/2014–03/31/20 National Institutes of Health (R21 mechanism) Purpose: The purpose of this study is to provide a novel insight for how to create a social climate that meets the social developmental needs of adolescents for facilitating sustained increases in youth physical activity Hassett-Walker (PI) 05/2012 – 04/2015 National Institutes of Health (R15 mechanism)
Statistician. Shall work under the direction of the Graphics Coordinator and/or talent to provide statistical information for the Graphics Coordinator and/or talent that pertains to the event as necessary to inform the talent and/or help build graphics for the broadcast. The Statistician should have the knowledge and the ability to research game information as it pertains to the event. Late call employees If a late call (Score Box Operator, Stage Manager, and/or Statistician) individual’s call in time is adjusted to earlier than three (3) hours before the game/event start time, prior arrangements will be made with that employee.
Statistician. DemandTec Statisticians run the models and undertakes additional analyses and reviews aimed at ensuring that initial models and updated models generated by DemandTec meet DemandTec’s standards for model fit. This work is performed remotely. Specific responsibilities in the context of this Project include: • Set up modeling templates with Customer- and category-specific values • Perform ad-hoc data transformations prior to modeling, when necessary • Submit and monitor modeling jobs • Review results of data integrity checks in first stage of modeling, working with Tech Integration and Implementation team to resolve any issues • Assess model fit and resulting forecast accuracy and conduct diagnostic analyses when required • Track status of all categories as they move through the model, remodel and/or recalibration processes • Conduct ad-hoc analyses on modeling data and post-implementation results per internal and Customer requests
Statistician. Overworked and in high demand. Skeptical of automated statistics but yet appreciative of speedy summaries. Sees tranSMART as a hypothesis generating tool with real statistics necessary for the true analysis. Wants to know the processes under any automated analyses.
