Learning to Like Market Research Questions - Small Group Exercise - Report/Discussion on Group Exercise

List of Top Research Bodies of School of Statistics and Data Science sorted by citations.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly. While it was estimated at ***** zettabytes in 2025, the forecast for 2029 stands at ***** zettabytes. Thus, global data generation will triple between 2025 and 2029. Data creation has been expanding continuously over the past decade. In 2020, the growth was higher than previously expected, caused by the increased demand due to the coronavirus (COVID-19) pandemic, as more people worked and learned from home and used home entertainment options more often.

Since 2020, global data center power demand has significantly increased, with artificial intelligence (AI) forecast to require 200 terawatt-hours by 2030. Global data center power demand has increased year-on-year since 2019 and reached 142 terawatt-hours in the United States in 2023 when excluding AI use.

No description is available. Visit https://dataone.org/datasets/sha256%3Ad88e066ced4d2e4200888d4350c6a87b36e505d2cbe57626232347d18240cf88 for complete metadata about this dataset.

Main Text Figures FIG1: Quartic Oscillator The data in this figure represents a comparison between the exact quantum position distribution and several classical-like effective potentials for a one-dimensional quartic oscillator. It shows the potential energy curves and the resulting position distribution functions (PDFs) at three different temperatures (high, intermediate, and low). The data demonstrates how the proposed Local Harmonic (LH) potential accurately captures quantum effects like zero-point energy and tunneling, whereas the standard classical potential fails at lower temperatures.

FIG2: Morse Potential This figure contains data for a Morse potential, which is often used to model chemical bonds. The data includes the potential energy and position distributions calculated at different temperatures. It highlights the robustness of the LH effective potential in dealing with potentials that have asymmetric shapes and a finite dissociation limit, comparing it against exact quantum results.

FIG3: Double Well The data here compares the proposed LH potential against established methods like the Feynman-Hibbs and Feynman-Kleinert potentials. It focuses on the position distribution function and illustrates that while centroid-based methods are excellent for partition functions, the LH approach provides a more direct and accurate estimation of the actual position-dependent observables.

Supplementary Information (SI) Figures FIG1_SI. FIG2_SI and FIG3_SI: Comparison of LH Potential Variants (Quartic) This figure displays data comparing the "bare" unrenormalized local harmonic potential, the renormalized version, and the final refined version for the quartic oscillator (at two different parameters) and Morse oscillator. It shows how specific mathematical refinements (like harmonic mapping) improve the accuracy of the potential energy and position distribution curves at various temperatures. It also documents how the refined potential avoids unphysical localization (narrowing) of the distribution that occurs in simpler approximations at very low temperatures.

FIG4_SI: Detailed Centroid vs. Position Distribution Comparison The data here provides a side-by-side comparison of the position distributions generated by the Feynman-Kleinert and Feynman-Hibbs methods against the exact quantum distribution. It highlights the tendency of centroid-based methods to remain more "classical-like" and localized compared to the true quantum distribution.

FIG5_SI, FIG6_SI and FIG7_SI: Absolute Zero Comparison (T=0 K) This figure presents data for several potentials (Quartic, Morse, and Double-well) at absolute zero temperature. The data shows that even at the limit of zero temperature, the local harmonic PDF remains in good agreement with the exact quantum mechanics results.

List of Top Research Bodies of Department of Statistics and Data Science sorted by citations.

List of Top Research Bodies of Department of Statistics and Data Sciences sorted by peer-reviewed citations.

Summary This links to the Research and Development browse category on the Statistics New Zealand website.This links to the Research and Development browse category on the Statistics New Zealand website. Note This content was directly extracted from the New Zealand government's website: http://www.newzealand.govt.nz/ by a machine, please refer to the source for accurate and timely information.

Sourced email security data and statistics compiled from industry reports, academic research, and government publications for 2026.

Objectives: Demonstrate the application of decision trees—classification and regression trees (CARTs), and their cousins, boosted regression trees (BRTs)—to understand structure in missing data. Setting: Data taken from employees at 3 different industrial sites in Australia. Participants: 7915 observations were included. Materials and methods: The approach was evaluated using an occupational health data set comprising results of questionnaires, medical tests and environmental monitoring. Statistical methods included standard statistical tests and the ‘rpart’ and ‘gbm’ packages for CART and BRT analyses, respectively, from the statistical software ‘R’. A simulation study was conducted to explore the capability of decision tree models in describing data with missingness artificially introduced. Results: CART and BRT models were effective in highlighting a missingness structure in the data, related to the type of data (medical or environmental), the site in which it was collected, the numb...

List of Top Research Bodies of Center for Data Processing and Statistics sorted by peer-reviewed citations.

Head-to-Head: Minutes Per Day (US Children): data table from the WhitelistVideo research article "YouTube Statistics for Kids & Teens: 60+ Data Points (2026)", compiled from the cited public sources. 3 rows, 4 columns (Platform, Daily Average, Notes, Source).

YouTube's Global Scale: data table from the WhitelistVideo research article "YouTube Statistics for Kids & Teens: 60+ Data Points (2026)", compiled from the cited public sources. 3 rows, 3 columns (Metric, Value, Source).

18 categories and 165 subcategories applied to 11,890 AI tools, with stated training-policy statistics for 9,853 tools.

Northern Virginia was by far the world’s largest data center market by total inventory as of the first quarter of 2025. The region had a reported inventory of over 3,046.1 MW, which was more than twice that of Atlanta, the second-largest market. Northern Virginia remains the world’s most important data center market The Northern Virginia region has established a remarkable position as a data center hub. Data center facilities cluster around Loudon, Prince William, and Fairfax counties, with operators keen to locate close to east coast metropolitan areas and key subsea cables. Vacancy rates in such facilities are notably low, reflecting the continued demand for capacity in the region. However, new rules and standards could see a slowdown in construction moving forward. In addition, while Northern Virginia is not the world’s most expensive market for data center construction, considerably lower construction costs in alternative North American markets could prompt investors to reassess. London is the largest of Europe’s FLAPD markets Europe’s leading data center hubs are often collectively referred to as the FLAPD market, standing for Frankfurt, London, Amsterdam, Paris, and Dublin. These markets are driving forward a European data center industry forecast to generate 110 billion U.S. dollars in 2026, with newly adopted European Union sustainability reporting requirements set to dominate the agenda.

The Research and Development Survey (RANDS) is a series of cross-sectional surveys using probability-sampled commercial survey panels. The fourth round of RANDS (RANDS 4) was administered by NORC at the University of Chicago using the AmeriSpeak Panel from July 17, 2020 to August 24, 2020. RANDS 4 contained the embedded probe questions and experiments as in previous rounds of RANDS, but had an emphasis on disability and the use of opioid pain relievers. RANDS 4 has a known survey sampling design and can be used to produce nationally and sub-nationally representative estimates.

Research dataset and analysis for UV Technologies including statistics, forecasts, and market insights

Data are based on information from all death certificates filed in the 50 states and the District of Columbia and processed by the National Center for Health Statistics (NCHS). Restricted data available through the Research Data Center include geographical indicators, exact date of birth and death of decedent, among others.

In 2022, traditional data centers accounted for a power demand of 345 terawatt-hours, while the electricity used by artificial intelligence data centers was close to zero. By 2026, AI data centers demand is forecast to grow to 90 terawatt-hours. By 2026, the overall electricity demand from traditional and AI data centers and cryptocurrencies is forecast to range between 620 and 1050 terawatt-hours, depending on the scenario.