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

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.

A worksheet for how to deal with a tough data question.

"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.

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

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.

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.

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.

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

Learning outcomes:Students will gain an understanding of the global patterns of COVID-19 cases, and how this information changes over time.Students will also compare the COVID-19 data with the World Health Organisations health statistics.Other New Zealand GeoInquiry instructional material freely available at https://arcg.is/1GPDXe

Students will explore the spatial patterns of the Human Development Index (HDI) to identify regional patterns and causal factors in the data. The activity uses a web-based map. Learning outcomes: Students will be able to analyse development statistics and see how development correlates with other topics such as fertility and morality.Other New Zealand GeoInquiry instructional material freely available at https://arcg.is/1GPDXe

This dataset contains three worksheets. The full description for each column of data in worksheets two and three is available in the first worksheet called "IndicatorMetaData". The data was provided by Toronto Public Health, Toronto Parks, forestry and Recreation, Federal Ministry of the Environment and Toronto Water. Refer to the descriptions in worksheet 1 for more information. Users should note that the data for each neighbourhood are based on the mathematical aggregation of smaller sub-areas (in this case Census Tracts) that when combined, define the entire neighbourhood. Since smaller areas may have their values rounded or suppressed (to abide by Statistics Canada privacy standards), the overall total may be undercounted.

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 (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 a complementary statistical table B13.2.1, which cover immediate exposures adjusted (via guarantees and other risk transfers) to reflect the location of the ultimate counterparty/risk. Foreign claims represent international claims plus local currency claims. 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). Local currency claims on local residents by the foreign offices of reporting entities (for example, the New Zealand (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 'Summary' 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 '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.

"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. The extensive selection of statistics is provided for the United States, with selected d ata 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. The disc contains over 1,500 tables from over 250 different governmental, private, and international organizations. Some of the 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. Significant changes in the 2002 data include new data from the 2000 census and new tables that include data covering resident population's migration status, educational attainment, disability status, ancestry, place of birth, and language spoken at home as well as househol d income, poverty, and selected housing characteristics from the sample portion of the 2000 census. New tables cover topics such as unmarried households, state children's health insurance programs, limitation of activity level caused by chronic conditions, characteristics of homeschooled children, firearm-use offenders, home- based work and flexible work by workers, computer use in the workplace, employee benefits, and computer and Internet use." 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.

File of pending & closed development items.

This file consists of the four original sheets included in the District Profile Report download, as described on the About FY22 Report tab, an additional five sheets created for GIS use and documentation, and an About File tab.The original four sheets are as follows:1. The “District Profile Report” provides a list of statistics for a given school district under seven groupings listed above (A-G). There are six columns of data in this worksheet. The first three columns provide statistics for each data element for the selected district, similar districts average and statewide average. There are three additional columns that enable the user to look at the statistics of three other school districts for comparison. By clicking in the cell below the Comparison Districts 1, 2 and 3 labels, the user can choose three additional school districts to review simultaneously.2. The worksheet labeled “District Data” provides a downloadable file of school district data.3. The worksheet labeled “Similar Districts Data” provides a downloadable file of similar districts averages.4. The worksheet labeled “Statewide Data” provides statewide averages for every statistic in the report.The five new sheets are as follows:1. FY22_Data_Dictionary - contains the abbreviated column names for GIS use and their definitions as found on the original download page. (The link is on the About FY22 Report sheet)2. FY22_Join - contains the District Data formatted for use in a GIS in the following way: the attribute/column titles were abbreviated for use in GIS, column C - UNSDLEA22 was added to facilitate joining to the Census School District geography file, column D - COUNTY was added for geographical filtering purposes, column E - COUNTY_GEOID was added for geographical filtering purposes. All columns from F to BM remain in the same order as the original dataset3. About FY22 Report - contains the report description as found on the original download page. The link to that original download page is also on this sheet.4. Mismatches - contains the school districts where the Census UNSDLEA cannot be derived from the Ohio IRN for quality control purposes5. No Data - contains the school districts that are not in the Profile Report but are in the Census geography data, for a quality control check when performing a join