Demonstration of basic applications of instrumental variable estimation (IVE), with applications of the Durbin-Wu-Hausman (DWH) test as an augmented regression.

This article describes a free, open-source collection of templates for the popular Excel (2013, and later versions) spreadsheet program. These templates are spreadsheet files that allow easy and intuitive learning and the implementation of practical examples concerning descriptive statistics, random variables, confidence intervals, and hypothesis testing. Although they are designed to be used with Excel, they can also be employed with other free spreadsheet programs (changing some particular formulas). Moreover, we exploit some possibilities of the ActiveX controls of the Excel Developer Menu to perform interactive Gaussian density charts. Finally, it is important to note that they can be often embedded in a web page, so it is not necessary to employ Excel software for their use. These templates have been designed as a useful tool to teach basic statistics and to carry out data analysis even when the students are not familiar with Excel. Additionally, they can be used as a complement to other analytical software packages. They aim to assist students in learning statistics, within an intuitive working environment. Supplementary materials with the Excel templates are available online.

As of 2019, nearly 50 percent of Finns had used a spreadsheet software within the last 12 months. During the survey period, 69 percent of respondents aged 16 to 24 years and 35 to 44 years used a spreadsheet software such as Excel in Finland.

Worksheets for calculating items 9 and 10, simple mixtures and filtrations, extracts, and dietary supplements on TTB Form 5154.1.

"The Statistical Abstract of the United States, published since 1878, is the standard summary of statistics on the social, political, and economic organization of the United States. It is designed to serve as a convenient volume for statistical reference and as a guide to other statistical publications and sources. The latter function is served by the introductory text to each section, the source note appearing below each table, and Appendix I, which comprises the Guide to Sources of Statisti cs, the Guide to State Statistical Abstracts, and the Guide to Foreign Statistical Abstracts. The Statistical Abstract sections and tables are compiled into one Adobe PDF named StatAbstract2009.pdf. This PDF is bookmarked by section and by table and can be searched using the Acrobat Search feature. The Statistical Abstract on CD-ROM is best viewed using Adobe Acrobat 5, or any subsequent version of Acrobat or Acrobat Reader. The Statistical Abstract tables and the metropolitan areas tables from Appendix II are available as Excel(.xls or .xlw) spreadsheets. In most cases, these spreadsheet files offer the user direct access to more data than are shown either in the publication or Adobe Acrobat. These files usually contain more years of data, more geographic areas, and/or more categories of subjects than those shown in the Acrobat version. The extensive selection of statistics is provided for the United States, with selected data for regions, divisions, states, metropolitan areas, cities, and foreign countries from reports and records of government and private agencies. Software on the disc can be used to perform full-text searches, view official statistics, open tables as Lotus worksheets or Excel workbooks, and link directly to source agencies and organizations for supporting information. Except as indicated, figures are for the United States as presently constituted. Although emphasis in the Statistical Abstract is primarily given to national data, many tables present data for regions and individual states and a smaller number for metropolitan areas and cities.Statistics for the Commonwealth of Puerto Rico and for island areas of the United States are included in many state tables and are supplemented by information in Section 29. Additional information for states, cities, counties, metropolitan areas, and other small units, as well as more historical data are available in various supplements to the Abstract. Statistics in this edition are generally for the most recent year or period available by summer 2006. Each year over 1,400 tables and charts are reviewed and evaluated; new tables and charts of current interest are added, continuing series are updated, and less timely data are condensed or eliminated. Text notes and appendices are revised as appropriate. This year we have introduced 72 new tables covering a wide range of subject areas. These cover a variety of topics including: learning disability for children, people impacted by the hurricanes in the Gulf Coast area, employees with alternative work arrangements, adult computer and Internet users by selected characteristics, North America cruise industry, women- and minority-owned businesses, and the percentage of the adult population considered to be obese. Some of the annually surveyed topics are population; vital statistics; health and nutrition; education; law enforcement, courts and prison; geography and environment; elections; state and local government; federal government finances and employment; national defense and veterans affairs; social insurance and human services; labor force, employment, and earnings; income, expenditures, and wealth; prices; business enterprise; science and technology; agriculture; natural resources; energy; construction and housing; manufactures; domestic trade and services; transportation; information and communication; banking, finance, and insurance; arts, entertainment, and recreation; accommodation, food services, and other services; foreign commerce and aid; outlying areas; and comparative international statistics." Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

With a step-by-step approach, learn to prepare Excel files, data worksheets, and individual data columns for data analysis; practice conditional formatting and creating pivot tables/charts; go over basic principles of Research Data Management as they might apply to an Excel project. Avec une approche étape par étape, apprenez à préparer pour l’analyse des données des fichiers Excel, des feuilles de calcul de données et des colonnes de données individuelles; pratiquez la mise en forme conditionnelle et la création de tableaux croisés dynamiques ou de graphiques; passez en revue les principes de base de la gestion des données de recherche tels qu’ils pourraient s’appliquer à un projet Excel.

The U.S. Geological Survey (USGS), in cooperation with Connecticut Department of Transportation, completed a study to improve flood-frequency estimates in Connecticut. This companion data release is a Microsoft Excel workbook for: (1) computing flood discharges for the 50- to 0.2-percent annual exceedance probabilities from peak-flow regression equations, and (2) computing additional prediction intervals, not available through the USGS StreamStats web application. The current StreamStats application (version 4) only computes the 90-percent prediction interval for stream sites in Connecticut. The Excel workbook can be used to compute the 70-, 80-, 90-, 95-, and 99-percent prediction intervals. The prediction interval provides upper and lower limits of the estimated flood discharge with a certain probability, or level of confidence in the accuracy of the estimate. The standard error of prediction for the Connecticut peak-flow regression equations ranged from 26.3 to 45.0 percent (Ahearn and Hodgkins, 2020). The Excel workbook consists of four worksheets. The worksheets provide an overview of how the application works; input and output tables of the explanatory variables and flood discharges, and graphical display of the results; and the computational formulas used to estimate the flood discharges and prediction intervals.

In March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APR in ARF/RRF 231 International Exposures. This return is the basis of the data provided by Australia to the Bank for International Settlements (BIS) for its International Banking Statistics (IBS) data collection. APR ceased the RFC data collection after September 2010.

The IBS data are based on the methodology described in the "http://www.bis.org/statistics/intfinstatsguide.pdf">BIS Guide on International Financial Statistics [PDF] (see Part II International banking statistics). Data reported for Australia, and other countries, on the BIS website are expressed in United States dollars (USD).

Data are recorded on an end-quarter basis.

There are two sets of IBS data: locational data, which are used to gauge the role of banks and financial centres in the intermediation of international capital flows; and consolidated data, which can be used to monitor the country risk exposure of national banking systems. Only consolidated data are reported in this statistical table.

Data are shown for a range of countries and regions. Similar data for a selected group of countries are also available in statistical table B13.2.

Country and regional groupings are based on the classification used in the IBS.

Data presented in this statistical table are ultimate risk claims. Ultimate risk claims cover claims on an immediate counterparty location basis that have been adjusted (via guarantees and other risk transfers) to reflect the location of the ultimate counterparty/risk. Data on immediate risk claims (expressed by the BIS as claims on an immediate borrower basis) are available in complementary statistical tables B13.1 and B13.1.2.

Foreign claims represent international claims plus foreign officesa local claims on residents in both local and foreign currencies. International claims represent cross-border claims in all currencies and foreign officesa local claims in non-local currencies (which would include, for example, USD claims on New Zealand residents by the New Zealand subsidiary of an Australian-owned bank). Local currency claims on local residents by the foreign offices of reporting entities (for example, the New Zealand dollars (NZD) claims on New Zealand residents by the New Zealand subsidiary of an Australian-owned bank).

This statistical table contains seven data worksheets. Six present data for countries within each specified region, while the aSummarya worksheet shows total foreign claims of the globally consolidated operations of Australian- owned banks for each region, international organisations and unallocated. In each of these worksheets, the data in the last column measures total foreign claims for the region. Total foreign claims for each country add to total foreign claims for the region. However, in some quarters, this cannot be directly verified because data for individual countries and regions have blank entries in order to avoid disclosing confidential bank exposures.

In the aSummarya worksheet, the positions by region and international organisation, and unallocated are summed to produce a aTotala figure that represents reporting entitiesa total international exposures.

In March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APRA in ARF/RRF 231 International Exposures. This return is the basis of the data provided by Australia to the Bank for International Settlements (BIS) for its International Banking Statistics (IBS) data collection. APRA ceased the RFC data collection after September 2010.

The IBS data are based on the methodology described in the BIS Guide on International Financial Statistics (see http://www.bis.org/statistics/intfinstatsguide.pdf; Part II International banking statistics). Data reported for Australia, and other countries, on the BIS website are expressed in United States dollars (USD).

Data are recorded on an end-quarter basis.

There are two sets of IBS data: locational data, which are used to gauge the role of banks and financial centres in the intermediation of international capital flows; and consolidated data, which can be used to monitor the country risk exposure of national banking systems. Only consolidated data are reported in this statistical table.

Data are shown for a range of countries and regions. Similar data for a selected group of countries are also available in statistical table B13.1.

Country and regional groupings are based on the classification used in the IBS.

Data presented in this statistical table are immediate risk claims (expressed by the BIS as claims on an immediate borrower basis), which cover exposures on an immediate counterparty location basis. Ultimate risk claims are presented in complementary statistical tables B13.2 and B13.2.1, which cover immediate exposures adjusted (via guarantees and other risk transfers) to reflect the location of the ultimate counterparty/risk.

International claims represent cross-border claims in all currencies and foreign offices’ local claims in non-local currencies (which would include, for example, USD claims on New Zealand residents by the New Zealand subsidiary of an Australian-owned bank).

This statistical table contains seven data worksheets. Six present data for countries within each specified region, while the 'Summary' worksheet shows total international claims of the globally consolidated operations of Australian-owned banks for each region, international organisations and unallocated. In each of these worksheets, the data in the last column measures total international claims for the region. Total international claims for each country add to total international claims for the region. However, in some quarters, this cannot be directly verified because data for individual countries and regions have blank entries in order to avoid disclosing confidential bank exposures.

In the 'Summary' worksheet, the positions by region and international organisation, and unallocated are summed to produce a ‘Total’ figure that represents reporting entities’ total international exposures.

This worksheet allows you to see how IRT estimates the ML estimate of theta. Plus in the a and b for an item, as well as the response to each item (correct/incorrect).

City of Tempe Security and Privacy Worksheet includes:Section 1: DATASET NAME Section 2. PERSONALLY IDENTIFIABLE INFORMATION QUESTIONS Section 3. SECURITY: PROTECTED DATA Section 4. SECURITY: SENSITIVE DATA

description: This dataset contains basic information describing well logs for water wells and geothermal wells as compiled by the Virginia Department of Mines, Minerals and Energy, Division of Geology and Mineral Resources, published as a Web feature service, a Web map service, an ESRI service, and as a downloadable Excel spreadsheet for the National Geothermal Data System. The documents contain 11 worksheets, including information about the template, notes related to revisions of the template, Resource provider information, the data, a field list (data mapping view) and a worksheet with vocabularies for use in populating the spreadsheet (data valid terms).; abstract: This dataset contains basic information describing well logs for water wells and geothermal wells as compiled by the Virginia Department of Mines, Minerals and Energy, Division of Geology and Mineral Resources, published as a Web feature service, a Web map service, an ESRI service, and as a downloadable Excel spreadsheet for the National Geothermal Data System. The documents contain 11 worksheets, including information about the template, notes related to revisions of the template, Resource provider information, the data, a field list (data mapping view) and a worksheet with vocabularies for use in populating the spreadsheet (data valid terms).

Excel spreadsheets by species (4 letter code is abbreviation for genus and species used in study, year 2010 or 2011 is year data collected, SH indicates data for Science Hub, date is date of file preparation). The data in a file are described in a read me file which is the first worksheet in each file. Each row in a species spreadsheet is for one plot (plant). The data themselves are in the data worksheet. One file includes a read me description of the column in the date set for chemical analysis. In this file one row is an herbicide treatment and sample for chemical analysis (if taken). This dataset is associated with the following publication: Olszyk , D., T. Pfleeger, T. Shiroyama, M. Blakely-Smith, E. Lee , and M. Plocher. Plant reproduction is altered by simulated herbicide drift toconstructed plant communities. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(10): 2799-2813, (2017).

This is a dataset analysis regarding our previous research and the current research. it is the result of our observations over 3 years of monitoring and is provided briefly within our 1st publication: https://doi.org/10.5281/zenodo.10407923.

"The Statistical Abstract is the nation's best known and most popular single source of statistics on the social, political, and economic organization of the country. The print version has been published since 1878, and a compact disc version has been available since 1993. Both are designed to serve as a convenient, easy-to-use statistical reference source and guide to statistical publications and sources. Software on the disc can be used to perform full-text searches, view official statistics , open tables as Lotus worksheets or Excel workbooks, and link directly to source agencies and organizations for supporting information. The disc contains over 1,500 tables from over 250 different governmental, private, and international organizations. Topics include population; vital statistics; health and nutrition; education; law enforcement, courts and prison; geography and environment; elections; state and local government; federal government finances and employment; national defense and veterans affairs; social insurance and human services; labor force, employment, and earnings; income, expenditures, and wealth; prices; business enterprise; science and technology; agriculture; natural resources; energy; construction and housing; manufactures; domestic trade and services; transportation; information and communication; banking, finance, and insurance; arts, entertainment, and recreation; accommodation, food services, and other services; foreign commerce and aid; outlying areas; and comparative international statistics. The most significant change in the 2001 data is in the number and order of the sections. New items include 120 new tables; a new section on Accommodation, Food Services, and Other Services; new data from the 2000 Census found in many tables in the Population and Construction and Housing Sections; and results from the 2000 national elections available in the Elections section. The disc includes content not found in the book such as Adobe Acrobat PDFs providing more explanation of several major economic series in cluding the federal budget, the National Income and Product Accounts (NIPA), and the new North American Industry Classification System (NAICS). Other PDFs provide information on the federal court system and social security. Links to these supplemental materials are provided from each appropriate table or from the text beginning the appropriate sections. The disc also includes new maps for reference from many different agencies including world and international maps from the Central Intelligence Agency and energy related maps from the Energy Information Administration. Other maps include maps of each state and their metro areas and component counties, congressional districts, national park sites throughout the country, U.S. transportation facilities and routes, coal mines and facilities, and the distribution of forest land." Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

In March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APRA in ARF/RRF 231 International …Show full descriptionIn March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APRA in ARF/RRF 231 International Exposures. This return is the basis of the data provided by Australia to the Bank for International Settlements (BIS) for its International Banking Statistics (IBS) data collection. APRA ceased the RFC data collection after September 2010. The IBS data are based on the methodology described in the BIS Guide on International Financial Statistics (see http://www.bis.org/statistics/intfinstatsguide.pdf; Part II International banking statistics). Data reported for Australia, and other countries, on the BIS website are expressed in United States dollars. Data are recorded on an end-quarter basis. There are two sets of IBS data: locational data, which are used to gauge the role of banks and financial centres in the intermediation of international capital flows; and consolidated data, which can be used to monitor the country risk exposure of national banking systems. Only locational data are reported in this statistical table. Data are shown for a range of countries and regions. Similar data for a selected group of countries are also available in B12.2. Country and regional groupings are based on the classification used in the IBS. Some liabilities are reported at market value, but contractual or nominal values are used where market values are not appropriate. This statistical table contains seven data worksheets. Six present data for countries within each specified region, while the 'Summary' worksheet shows total international liabilities of Australian-located banks (and RFCs between March 2003 and September 2010) for each region, and Australia. In each of these worksheets, the data in the last column measures total international liabilities for the region. Total international liabilities for each country add to total international liabilities for the region. However, in some quarters, this cannot be directly verified because data for individual countries and regions have blank entries in order to avoid disclosing confidential bank exposures. In the 'Summary' worksheet, the positions by region are summed to produce a ‘Total non-residents’ figure that represents reporting entities’ total positions with offshore counterparties in all currencies. The positions shown for 'Australia' are positions with residents in foreign currency.