The UNESCO Institute for Statistics (UIS) is the statistical agency of the United Nations Educational, Scientific and Cultural Organization (UNESCO). Established in 1995, its primary purpose is to serve as the global center for data and information on education, science, culture, and communication. The UIS plays a critical role in: 1. **Collecting Data**: UIS gathers statistical data from member states on various aspects of education and culture, including enrollment rates, literacy rates, educational attainment, and more.

The West Black Sea Region is a geographical and statistical region in Turkey, located along the northwestern coast of the Black Sea. It is known for its lush green landscapes, mountainous terrain, and coastal areas. The region typically includes several provinces, notably: 1. **Bolu** 2. **Düzce** 3. **Zonguldak** 4. **Bartın** 5. **Karabük** 6.

As of my last knowledge update in October 2023, "Andrew Samson" does not refer to a widely recognized figure, concept, or entity in popular culture, history, or academia. It's possible that Andrew Samson pertains to a private individual, a less widely known person, or has emerged after my last update.

Pelagonia is one of the statistical regions of North Macedonia. It is located in the southwestern part of the country and is known for its rich agricultural land, historical sites, and a mix of cultural influences due to its proximity to neighboring countries. The region is also characterized by its mountainous terrain and has a variety of natural resources. The main city in Pelagonia is Bitola, which is notable for its historical significance and vibrant cultural life.

The Southeastern Statistical Region is one of the statistical regions in certain countries, such as Bulgaria. It is typically defined for the purpose of collecting, analyzing, and presenting statistical data. In Bulgaria, for example, the Southeastern Statistical Region includes several municipalities and is characterized by various economic, social, and demographic features. Generally, statistical regions are created to facilitate regional analysis, support policy-making, and manage resources effectively.

The term "Southwestern Statistical Region" typically refers to a specific geographical area defined for statistical analysis and reporting purposes. However, the exact definition and boundaries can vary depending on the country or organization using the term. In many contexts, it pertains to a region that includes several states, provinces, or counties in the southwestern part of a country, often used in economic, demographic, or social research.

Southern and Eastern Serbia refer to regions within the country of Serbia, which is located in Southeast Europe. These areas are characterized by their distinct geographical, cultural, and historical features. 1. **Southern Serbia**: This region generally includes areas south of the Morava River and encompasses parts of the municipalities such as Niš, Prokuplje, and Leskovac. It is known for its mountainous landscapes, including the Kopaonik and Starac Mountains, as well as a diverse cultural heritage.

The Vardar Statistical Region is one of the eight statistical regions of North Macedonia. It is located in the central part of the country and is named after the Vardar River, which runs through the region. The region encompasses several municipalities, with the capital city of Skopje being the largest and most significant urban center within it. The Vardar region is characterized by its diverse geography, including mountainous areas, valleys, and the basin of the Vardar River.

The Autonomous Province of Kosovo and Metohija, often referred to simply as Kosovo, is a region located in the southern part of Serbia. It has a complex political status and a history of ethnic tension. The area is predominantly populated by ethnic Albanians, with significant communities of Serbs and other ethnic groups. Historically, Kosovo has been of central importance to Serbian national identity and has a rich cultural heritage, including several important Serbian Orthodox religious sites.

The Lower Sava Statistical Region (Slovene: Statistična regija Posavje) is one of the statistical regions in Slovenia. It is located in the southeastern part of the country, and its name derives from the Sava River, which flows through the area. The region includes several municipalities, with notable towns such as Brežice and Krško. The Lower Sava region is primarily known for its diverse landscapes, including river valleys, agricultural areas, and hilly terrain.

The Mura Statistical Region (Slovenian: Pomurska) is one of the twelve statistical regions of Slovenia. It is located in the northeastern part of the country, bordering Hungary to the east. The region is named after the Mura River, which flows through it. Mura is known for its agricultural significance, with a landscape characterized by flat plains, rivers, and a mix of villages and towns.

Šumadija and Western Serbia are regions located in the central part of Serbia. Here's a brief overview of each: ### Šumadija - **Geography**: Šumadija is a historical and geographical region characterized by rolling hills, rivers, and forests. It is situated in central Serbia, north of the city of Kragujevac.

The Central Sava Statistical Region is one of the statistical regions in Slovenia. It is located in the central part of the country and is known for its diverse landscape, which includes both urban and rural areas. The region includes several municipalities and is characterized by its industrial activity, particularly in sectors such as manufacturing and services. The Central Sava Statistical Region also has notable geographical features, including rivers and mountains, contributing to its natural beauty.

The Central Slovenia Statistical Region, known in Slovenian as "Osrednjeslovenska statistična regija," is one of the twelve statistical regions of Slovenia. It is located in the central part of the country and includes the capital city, Ljubljana, which is the largest city in Slovenia. This region is significant both economically and culturally, serving as the political and administrative heart of Slovenia.

The Gorizia Statistical Region is one of the twelve statistical regions of Slovenia. It is located in the western part of the country and is named after its largest city, Gorizia (or Gorica). This region encompasses parts of the historical region of Gorizia and is known for its diverse culture, rich history, and scenic landscapes, including sections of the Alpine and Mediterranean environments.

The Littoral–Inner Carniola Statistical Region, known in Slovenian as "Littoral–Inner Carniola" (Obalno-kraška statistična regija), is one of the twelve statistical regions of Slovenia. It is located in the southwestern part of the country and encompasses a diverse geographical area that includes both coastal and inland regions. The region is characterized by its beautiful Mediterranean coastline along the Adriatic Sea, mountainous areas, and fertile valleys.

Hubert Lilliefors is most commonly known for developing the Lilliefors test, which is a statistical test for normality. The Lilliefors test is used to determine whether a sample comes from a normally distributed population, especially when the population mean and variance are unknown. It is a modification of the Kolmogorov-Smirnov test and is particularly useful in situations where the sample size is small.

J. Richard Landis is a statistician known for his work in the field of statistics, particularly in the area of reliability and agreement measures, including the development of the Landis and Koch scales for interpreting the kappa statistic used to assess inter-rater agreement. He has contributed significantly to statistical methodology and its application in various fields, including biomedical research.

John Wishart (1897–1956) was a prominent Scottish statistician known for his contributions to multivariate statistical analysis and the development of the Wishart distribution. This distribution is an important concept in statistics, particularly in the field of multivariate data analysis, as it serves as a generalization of the chi-squared distribution to higher dimensions. The Wishart distribution is used in various applications, including estimation and hypothesis testing for covariance matrices of multivariate data.