This publication provides all the information required to understand the PISA 2003 educational performance database and perform analyses in accordance with the complex methodologies used to collect and process the data. It enables researchers to both reproduce the initial results and to undertake further analyses. The publication includes introductory chapters explaining the statistical theories and concepts required to analyse the PISA data, including full chapters on how to apply replicate weights and undertake analyses using plausible values; worked examples providing full syntax in SAS®; and a comprehensive description of the OECD PISA 2003 international database. The PISA 2003 database includes micro-level data on student educational performance for 41 countries collected in 2003, together with students’ responses to the PISA 2003 questionnaires and the test questions. A similar manual is available for SPSS users.

Exercise data set for the SAS book by Uehlinger. Sample of individual variables and cases from the data set of ZA Study 0757 (political ideology). Topics: most important political problems of the country; political interest; party inclination; behavior at the polls in the Federal Parliament election 1972; political participation and willingness to participate in political protests. Demography: age; sex; marital status; religious denomination; school education; interest in politics; party preference. Übungsdatensatz zum SAS-Buch von Uehlinger. Auswahl einzelner Variablen und Fälle aus dem Datensatz der ZA-Studie 0757 (Politische Ideologie). Themen: Wichtigste politische Probleme des Landes; politisches Interesse; Parteineigung; Wahlverhalten bei der Bundestagswahl 1972; politische Partizipation und Teilnahmebereitschaft an politischen Protesten. Demographie: Alter; Geschlecht; Familienstand; Konfession; Schulbildung; Politikinteresse; Parteipräferenz. Random selection Zufallsauswahl Oral survey with standardized questionnaire

In 2020, SAS Institute (short for Statistical Analysis System) generated 50 percent of its software revenue in the Americas region. The company's revenue in that year was three billion U.S. dollars, of which SAS reinvested 27 percent in research and development. This share is significantly higher than with most other software companies.

SAS is one of the leading analytics software providers

With a share of almost 28 percent, SAS Institute is the leading vendor in the global advanced and predictive analytics software market, where SAS competes with IBM, MathWorks, Alteryx, and Microsoft for market share. SAS also holds single to double-digit percentages in all other segments of the overall big data and analytics software market, including BI and analytics tools, artificial intelligence software platforms, analytic data integration and integrity software, and customer relationship analytics applications. The company's share of the overall big data and analytics software market stands at around five percent, putting SAS amongst the top vendors in the market behind Oracle, Microsoft, SAP, IBM, and Salesforce.

90 percent of Fortune 500 companies use SAS products

The SAS Institute developed out of a project at the agricultural department at the North Carolina State University in the 1960s. The company's current CEO James Goodnight and other participants of the project established it as a private company in 1976. As of 2020, the company had 12,545 employees worldwide, selling and providing its software analytics products and services to customers in 145 countries. The company's software is installed at more than 82 thousand government, university, and business sites and is used by more than 90 percent of the top companies on the 2020 Fortune 500 list.

The OECD Programme for International Student Assessment (PISA) surveys collected data on students’ performance in reading, mathematics and science, as well as contextual information on students’ background, home characteristics and school factors which could influence performance. This publication includes detailed information on how to analyse the PISA data, enabling researchers to both reproduce the initial results and to undertake further analyses. In addition to the inclusion of the necessary techniques, the manual also includes a detailed account of the PISA 2006 database. It also includes worked examples providing full syntax in SAS

Mortality rates were calculated as defined in the text.Summary statistics for White cervical cancer mortality rates in 13 U.S. states from 1975 to 2010.

The global HD-mini SAS Cable market size was valued at USD XX million in 2025 and is projected to reach USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period (2025-2033). The increasing adoption of HD-mini SAS in data centers and enterprise applications, such as high-performance computing (HPC) and cloud computing, is driving the growth of the market. Moreover, the rising demand for high-speed data transmission and the proliferation of data-intensive applications are further contributing to the market growth. The market is segmented based on application into enterprise storage, data centers, and cloud computing. The enterprise storage segment held the largest share in 2025 and is expected to maintain its dominance throughout the forecast period. This growth is attributed to the increasing adoption of HD-mini SAS in storage systems due to its high-speed data transfer capabilities and reliability. The data centers segment is anticipated to grow at a significant CAGR during the forecast period. This growth is driven by the rising adoption of HD-mini SAS in data centers for high-speed data connectivity between servers and storage devices.

This statistic depicts the distribution of tools used to compile data and present analytics and/or reports to management, according to a marketing survey of C-level executives, conducted in December 2015 by Black Ink. As of December 2015, 9 percent of respondents used statistical modeling tools, such as IBM's SPSS or the SAS Institute's Statistical Analysis System package, to compile and present their reports.

The global SAS SSD market is projected to exhibit significant growth over the forecast period, owing to the increasing adoption of SAS SSDs in data centers and enterprise applications. The rising demand for high-performance computing and data storage solutions is driving the growth of the SAS SSD market. Additionally, the growing popularity of cloud computing and virtualization is also contributing to the market's expansion. The market is expected to witness the entry of new vendors and the emergence of innovative technologies in the coming years. Key market players include Kingston Technology, Micron, Seagate, Samsung, Toshiba, Dell, and Western Digital. The market is highly competitive, with these companies vying for market share through product innovation and strategic partnerships. The market is expected to witness consolidation over the forecast period, with larger players acquiring smaller vendors to expand their product portfolio and geographic reach. The market is also expected to be impacted by the increasing adoption of NVMe SSDs, which offer higher performance and lower latency than SAS SSDs. However, the higher cost of NVMe SSDs is expected to limit their adoption in budget-sensitive applications.

Each attempt was replicated at least three times, and values of three observations for each point were considered for statistical analysis.*indicated the values are significant at p

The Spectrum Access System (SAS) market is projected to experience substantial growth in the coming years, driven by the increasing demand for spectrum resources and the emergence of new wireless technologies such as 5G. The market size is estimated to reach XXX million by 2033, expanding at a CAGR of XX% during the forecast period. The key drivers for this growth include the increasing adoption of mobile devices, the growing popularity of video streaming and content sharing, and the increasing deployment of IoT devices. The market is segmented based on type, application, and region. By type, the market is divided into 4G and 5G. By application, the market is segregated into private residence and enterprise. Geographically, the market is analyzed across North America, South America, Europe, Middle East & Africa, and Asia Pacific. Major players operating in the market include Google, Federated Wireless, Amdocs, Sony, Fairspectrum, Ericsson, Tecore, and others. These companies are involved in the development, deployment, and maintenance of SAS solutions. The report provides a comprehensive analysis of the market, including market size, growth rate, drivers, restraints, trends, and competitive landscape. It also includes forecasts for the market size and growth rate for the forecast period.

analyze the current population survey (cps) annual social and economic supplement (asec) with r the annual march cps-asec has been supplying the statistics for the census bureau's report on income, poverty, and health insurance coverage since 1948. wow. the us census bureau and the bureau of labor statistics ( bls) tag-team on this one. until the american community survey (acs) hit the scene in the early aughts (2000s), the current population survey had the largest sample size of all the annual general demographic data sets outside of the decennial census - about two hundred thousand respondents. this provides enough sample to conduct state- and a few large metro area-level analyses. your sample size will vanish if you start investigating subgroups b y state - consider pooling multiple years. county-level is a no-no. despite the american community survey's larger size, the cps-asec contains many more variables related to employment, sources of income, and insurance - and can be trended back to harry truman's presidency. aside from questions specifically asked about an annual experience (like income), many of the questions in this march data set should be t reated as point-in-time statistics. cps-asec generalizes to the united states non-institutional, non-active duty military population. the national bureau of economic research (nber) provides sas, spss, and stata importation scripts to create a rectangular file (rectangular data means only person-level records; household- and family-level information gets attached to each person). to import these files into r, the parse.SAScii function uses nber's sas code to determine how to import the fixed-width file, then RSQLite to put everything into a schnazzy database. you can try reading through the nber march 2012 sas importation code yourself, but it's a bit of a proc freak show. this new github repository contains three scripts: 2005-2012 asec - download all microdata.R down load the fixed-width file containing household, family, and person records import by separating this file into three tables, then merge 'em together at the person-level download the fixed-width file containing the person-level replicate weights merge the rectangular person-level file with the replicate weights, then store it in a sql database create a new variable - one - in the data table 2012 asec - analysis examples.R connect to the sql database created by the 'download all microdata' progr am create the complex sample survey object, using the replicate weights perform a boatload of analysis examples replicate census estimates - 2011.R connect to the sql database created by the 'download all microdata' program create the complex sample survey object, using the replicate weights match the sas output shown in the png file below 2011 asec replicate weight sas output.png statistic and standard error generated from the replicate-weighted example sas script contained in this census-provided person replicate weights usage instructions document. click here to view these three scripts for more detail about the current population survey - annual social and economic supplement (cps-asec), visit: the census bureau's current population survey page the bureau of labor statistics' current population survey page the current population survey's wikipedia article notes: interviews are conducted in march about experiences during the previous year. the file labeled 2012 includes information (income, work experience, health insurance) pertaining to 2011. when you use the current populat ion survey to talk about america, subract a year from the data file name. as of the 2010 file (the interview focusing on america during 2009), the cps-asec contains exciting new medical out-of-pocket spending variables most useful for supplemental (medical spending-adjusted) poverty research. confidential to sas, spss, stata, sudaan users: why are you still rubbing two sticks together after we've invented the butane lighter? time to transition to r. :D

Situation Awareness Systems (SAS) Market Outlook

In 2023, the Situation Awareness Systems (SAS) market size was valued at approximately USD 27.5 billion and is projected to reach USD 55.2 billion by 2032, exhibiting a robust CAGR of 8% during the forecast period. The growth of this market is primarily driven by the increasing importance of situational awareness across various sectors such as military, defense, aviation, and healthcare. As global threats become more sophisticated, the demand for advanced SAS technologies that provide real-time data analysis and decision-making capabilities is expected to rise, fueling market growth.

The primary growth factor for the SAS market is the escalating demand for enhanced security and safety measures across different industry verticals. The military and defense sectors are major contributors, as they continuously seek cutting-edge technologies to improve battlefield awareness and decision-making processes. The rise in global defense budgets, coupled with the prevalent geopolitical tensions, is accelerating the adoption of sophisticated SAS solutions. These systems offer a range of capabilities, from threat detection and assessment to real-time information sharing among defense personnel, significantly enhancing the overall operational efficiency and mission success rates.

Technological advancements in SAS are another critical factor propelling the market's growth. Innovations such as artificial intelligence, machine learning, and the Internet of Things (IoT) have revolutionized SAS, enabling more accurate and faster data processing and analysis. These technologies facilitate the integration of multiple data sources, providing a comprehensive situational picture that aids in predictive analytics and strategic planning. Additionally, the growing trend of digital transformation across industries is further contributing to the market's expansion, as organizations seek to leverage SAS for improved operational oversight and risk management.

The increasing frequency of natural disasters and the need for effective emergency response systems are also driving the demand for SAS solutions. The healthcare and automotive sectors are witnessing significant adoption of these systems to enhance patient care and vehicle safety, respectively. In healthcare, SAS is used for monitoring patient vitals and managing critical situations in real-time, thereby improving patient outcomes. In the automotive industry, the integration of SAS into vehicles enhances driver safety through advanced driver-assistance systems (ADAS) that provide real-time alerts and hazard detection, preventing accidents and saving lives.

Airborne Situational Awareness Systems play a crucial role in aviation and defense sectors, providing pilots and military personnel with real-time data on environmental conditions, potential threats, and navigational information. These systems are designed to enhance the safety and efficiency of flight operations by integrating advanced technologies such as radar, GPS, and communication systems. In the military context, Airborne Situational Awareness Systems enable forces to maintain a tactical advantage by delivering timely intelligence and facilitating coordinated actions. As the demand for enhanced airspace management and defense capabilities grows, the adoption of these systems is expected to increase, driving innovation and development in the SAS market.

Regionally, North America holds the largest share of the SAS market, driven by the presence of major defense contractors and the region's focus on technological innovation. The Asia Pacific region is expected to witness the highest growth rate, attributed to increasing defense expenditures and rapid technological advancements in countries like China and India. Europe also presents significant growth opportunities due to the rising adoption of SAS solutions in industries like automotive and healthcare. The Middle East & Africa and Latin America are gradually increasing their share as governments focus on strengthening their defense capabilities and improving public safety infrastructure.

Component Analysis

The component segment of the Situation Awareness Systems (SAS) market comprises sensors, displays, software, and others, each playing a pivotal role in the overall efficiency and effectiveness of these systems. Sensors form the backbone of SAS, providing critical data inputs that are essential for accurate situational analy

This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including cardiovascular disease early death and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of cardiovascular early deaths and other health outcomes with risk factors. Our research hypothesis is that we can successfully apply artificial intelligence to model cardiovascular disease outcomes with risk factors. We found that fat-soluble vitamin containing foods (animal products) and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths in high fat-soluble vitamin cohorts. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats. You are invited to download the dataset, the associated SAS code to access the dataset, and the tables that have resulted from the analysis. Please comment on the article by indicating what you found by exploring the dataset with the provided SAS codes. Please say whether or not you found the outputs from the SAS codes accurately reflected the tables provided and the tables in the published article. If you use our data to reproduce our findings and comment on your findings on the MedRxIV website (https://www.medrxiv.org/content/10.1101/2021.04.17.21255675v4) and would like to be recognized, we will be happy to list you as a contributor when the article is summited to JAMA. For questions, please email davidkcundiff@gmail.com. Thanks.

SAS code used to produce descriptive statistics for Low-wage Atlas. These include demographics of low-wage workers by state. Program is run on American Community Survey 1% sample data.

Output from programming code written to summarize fates of immature monarch butterflies collected and raised in captivity following SOP 4 (ServCat reference 103368). Collection and raising was conducted by crews from Neal Smith (IA), Necedah (WI) NWRs and near the town of Lamoni, Iowa. Results are given in tabular format in the excel file labeled as 2017 Metrics. Additional output from the SAS analysis code is given in the mht file.

Output from programming code written to summarize data describing 2017 MCSP Trial monitoring sites acquired using a SOP 1 (see ServCat reference 103364) of FWS Legacy Regions 2 and 3. 2017 monitoring sites were selected using a custom GRTS draw conducted by USGS, within monitoring areas associated with select NWRS stations. Areas monitored included Balcones Canyonlands (TX), Hagerman (TX), Washita (OK), Neal Smith (IA), Necedah (WI) NWRs and several locations near the town of Lamoni, Iowa and private lands in northern Missouri.

Table illustrating the five different categories the application distinguishes and their calculated statistics and charts.

The global Mini SAS HD Connector market size is projected to reach USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period. This growth can be attributed to the increasing demand for high-speed data transfer in various end-use industries, such as enterprise computing, data centers, and telecommunications. Additionally, the growing adoption of cloud computing and the Internet of Things (IoT) is driving the need for robust and reliable data connectivity, which is expected to further fuel the growth of the Mini SAS HD Connector market. The Mini SAS HD Connector market is highly competitive, with a wide range of established and emerging players. Key market players include TE Connectivity, Amphenol, BizLink, Fischer Connectors, CS Electronics, SANS Digital, Molex, Coxoc, Starconn, LSI, 3M, ACES Group, Samtec, Qualwave, Delock, Eaton, WUTONG GROUP, CZT, Next Group, and Conshare. These players are constantly innovating and expanding their product offerings to meet the evolving needs of their customers. The market is also characterized by the presence of regional and local suppliers, which cater to specific regional or application-based requirements.

Reliability analysis of SAS-II and a fitted model of SAS-II.

The global Serial Attached SCSI (SAS) Solid-State Drive (SSD) market is experiencing robust growth, driven by the increasing demand for high-performance data storage solutions across various industries. The market's expansion is fueled by several key factors, including the rising adoption of cloud computing, the proliferation of big data analytics, and the need for faster data processing speeds in enterprise applications. The increasing need for improved data reliability and reduced latency in mission-critical applications such as data centers and financial institutions is further bolstering the market's growth trajectory. While the exact market size and CAGR are not provided, considering the high growth rate typically seen in the SSD market and the premium nature of SAS SSDs compared to SATA SSDs, a reasonable estimate for 2025 market size might be in the range of $2 billion to $3 billion, with a CAGR of around 10-15% projected for the forecast period (2025-2033). This growth is anticipated to be driven by advancements in SAS technology, offering higher throughput and enhanced reliability compared to other interface technologies. However, the market faces some constraints, including the relatively high cost of SAS SSDs compared to other alternatives like SATA SSDs and NVMe SSDs. The competition from NVMe SSDs, offering even higher speeds, represents a significant challenge. The market is segmented by type (e.g., 2.5-inch, M.2) and application (e.g., enterprise servers, data centers, networking equipment). Key players like Kingston Technology, Micron, Samsung, Toshiba, and Western Digital are actively competing through product innovation and strategic partnerships to capture market share. Regional analysis reveals a strong presence in North America and Europe, which are expected to continue leading the market due to established IT infrastructure and high technological adoption rates. Asia Pacific is anticipated to witness significant growth driven by expanding data centers and increasing digitalization efforts. The future of the SAS SSD market hinges on technological innovation and the evolving needs of enterprise customers. While NVMe SSDs are gaining traction, SAS SSDs will likely retain a significant presence due to their reliability and compatibility with existing infrastructure. Furthermore, developments in SAS technology aiming for higher density and improved performance will help maintain its competitive edge. The market's growth will also be shaped by factors like cloud service provider investments in data center infrastructure and the rising demand for high-capacity storage solutions for AI and machine learning applications. Continued advancements in SAS SSD technology, focusing on cost reduction and performance enhancements while maintaining reliability, will be crucial for sustaining market growth over the forecast period.