Statistics In Action Pdf

[Twyla Plack]

Evaluationof SEC staff no action decisions on shareholder proposals from November 1, 2023 to May 1, 2024 demonstrates that the SEC has supported company requests for exclusion of proposals roughly 68% of the time. Companies sharply increased the number of requests filed with the SEC during the same period, with these two developments combining to produce a surge of exclusions.

All told, this year the SEC Staff has nearly doubled the number of exclusions supported compared with 2023. The Staff marginally increased the proportion of the requests, but the large increase in exclusions is largely a result of an increase in the number of no action requests filed by companies. 259 no action decisions (granted, denied or withdrawn) were issued as of May 1, 2024. This compared with only 167 decisions at this point last year.

What is the Experience Builder equivalent, of the WebAppBuilder's Query widget's statistics result action? I can't seem to figure out where this setting is to turn it on as a data action on the Experience Builder's query widget. Here are some examples, because I think I can show you better than I can tell you.

- Add a Text widget > connect it with the Query output data source, and use the "Selected features" view [if you want to see statistics for each result item]; use the "Default" view if you want to see statistics for all results without any selection needed

Through Commission resolution 69/15, countries in Asia and the Pacific requested that further regional action be taken to support the improvement of civil registration and vital statistics (CRVS) systems. The regional action framework responds to that request as a catalyst for Governments and development partners to focus and accelerate their efforts to realize a shared vision and the three CRVS goals outlined in this document during the proposed civil registration and vital statistics decade for Asia and the Pacific (2015 to 2024).

The Regional Action Framework facilitates collaborative action at local, provincial, national and international levels by enabling multiple stakeholders to align and prioritize their efforts, as well as to monitor progress towards achieving shared results.

A renewed action plan for statistics, "Statistics for Transparency, Accountability, and Results: A Busan Action Plan for Statistics," was endorsed by the High-Level Forum on Aid Effectiveness in Busan, in November 2011. The renewed action plan builds on the progress made over the last decade under the MAPS, while providing directions for the decade ahead.

Good statistics are important for achieving better development results. The Marrakech Action Plan for Statistics is a global plan for improving development statistics, agreed at the Second International Roundtable on Managing for Development Results in Morocco in 2004.

Eight programs have been developed with the UN and other international agencies to take the identified actions into practice. Much progressed has been achieved, which is highlighted by the following as of March 2014:

The Cape Town Global Action Plan for Sustainable Development Data was informally launched at the first UN World Data Forum on 15 January 2017 in Cape Town South Africa, and adopted by the United Nations Statistical Commission at its 48th Session in March 2017. The Action Plan is referenced in the Resolution on the work of the Statistical Commission adopted by the General Assembly in July 2017 (RES/71/313). The current version incorporates inputs received by the statistical community, including national statistical systems, and other stakeholders, following an open consultation held in November 2016.

Quality and timely data are vital for enabling governments, international organisations, civil society, private sector and the general public to make informed decisions and to ensure the accountability of representative bodies. Effective planning, follow-up and review of the implementation of the 2030 Agenda for Sustainable Development requires the collection, processing, analysis and dissemination of an unprecedented amount of data and statistics at local, national, regional and global levels and by multiple stakeholders. The 2030 Agenda explicitly calls for enhancing capacity building to support national plans to implement the sustainable development goals.

National statistical systems (NSS) face the urgent need to adapt and develop in order to meet the widening, increasing and evolving needs of data users, including for the full implementation of the 2030 Agenda for Sustainable Development. There is a wide range of statistical capacity among countries, with individual countries setting their own national priorities. Some countries are facing steeper challenges than others. Capacity building is important for all countries, even more so for developing countries, particularly African countries, least developed countries, landlocked developing countries, small island developing States and middle-income countries and other countries in vulnerable situations. This modernization and strengthening effort will require the full, active, and focused commitment of government policy leaders and the international community to implement the sustainable development agenda.

This global plan is intended to provide a framework for discussion on, and planning and implementation of statistical capacity building necessary to achieve the scope and intent of the 2030 Agenda. The plan acknowledges that this work will be country-led, and will occur at sub-national, national, and regional levels. This global plan is proposed to leverage and coordinate these many efforts, and those of international organizations and other partnerships.

Regional and national statistical organizations will have the opportunity to develop or adjust their action plans and road maps related to SDG monitoring in line with the Global Action Plan. Regional and national specificities can thus be addressed, and the production of regional and national indicators facilitated by capacity building and technical assistance targeted to the specific needs of regions and countries.

In order to monitor the implementation of the SDGs at an even more detailed level, action plans to improve the availability and quality of sectoral data and indicators may also be developed with the involvement of relevant international organizations.

The global statistical system is called upon to take decisive actions to transform how data and statistics are produced and disseminated to inform development policy decision, with the vital support of governments and in closer partnership with stakeholders from academia, civil society, the private sector, and the public at large. This will entail the concerted and sustained accounting and coordination of existing efforts and the strategic investment of resources in order to significantly address existing gaps in the technical and institutional capacities of national statistical systems, and thereby improve the coverage, quality and frequency of data and statistics, made available through transparent and public access.

Accordingly, at its forty-sixth session, the United Nations Statistical Commission agreed to establish the High-level Group for Partnership, Coordination and Capacity-Building for the 2030 Agenda (HLG-PCCB), comprising Chief Statisticians from 23 national statistical offices representing other countries in their respective regions.3 The HLG-PCCB was tasked to promote national ownership of the 2030 Agenda monitoring system and fostering statistical capacity building, partnerships and coordination. NSOs must coordinate its implementation at the country level. To further ensure national ownership, HLG-PCCB has prepared this action plan, which will be submitted for endorsement to the UN Statistical Commission at its annual meetings in March 2017.

Since 2004, when the Marrakech Action Plan for Statistics was developed, strategic planning has been recognised to be a powerful tool for guiding the development of national statistics development programmes, increasing political and financial support for statistics, and ensuring that countries are able to produce the data and statistics needed for monitoring and evaluating their development outcomes.

The Plan describes areas to address key statistical capacity building needs. Key actions are proposed in each area. In this way, the Plan complements the more specific guidance anticipated to be developed by member countries and their regions, each reflecting the unique needs and priorities of their constituencies while also sharing the common vision and goals described here.

This is the official website of the United Nations providing information on the development and implementation of an indicator framework for the follow up and review of the 2030 Agenda for Sustainable Development. It is maintained by the United Nations Statistics Division (UNSD), a division of the Department of Economic and Social Affairs (DESA).

George is the Robert L. Rooke Professor of Statistics at Mt. Holyoke College, where he served a three-year term as Dean of Studies. He received his Ph.D. in statistics from Harvard and is an expert in statistics education with a significant publication record. He chaired the joint committee on undergraduate statistics of the Mathematical Association of America and the American Statistical Association and is a Fellow of the American Statistical Association. he also led the Statistical Thinking and Teaching Statistics project of the Mathematical Association of America, which helped professors of mathematics learn to teach statistics. Over the past two decades, Dr. Cobb has frequently served as an expert witness in lawsuits involving alleged employment discrimination.

Richard is Professor Emeritus of Statistics at the University of Florida, where he served as chairman of the Department of statistics for 12 years. He received his Ph.D. in statistics from Florida State University. Dr. Scheaffer's resereach interests are in the areas of sampling and applid probability, especially in their applications to industrial processes. He has published numerous papers and is co-author of four college-level textbooks. Much of his effort has been directed toward statistics education at the elementary, secondary, and college levels. He was one of the developers of the Quantitative Literacy Project where he helped form the basis of the data analysis emphasis in mathematics curriculum standards recommended by the Natiional Council of Teachers of Mathematics. Dr. Scheaffer has also directed the task force that developed the AP Statistics Program and served as its first Chief Faculty Consultant. Dr. Scheaffer is Fellow and past president of the American Statistical Association, from which he received a Founders Award.

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