A global study found that 55 percent of news avoiders were interested in positive news stories, making this the most interesting type of news for these consumers. News providing solutions or explaining a situation was also popular, whereas big stories of the day were deemed the least interesting.

Subject: EducationSpecific: Online Learning and FunType: Questionnaire survey data (csv / excel)Date: February - March 2020Content: Students' views about online learning and fun Data Source: Project OLAFValue: These data provide students' beliefs about how learning occurs and correlations with fun. Participants were 206 students from the OU

A 2024 survey on children's news consumption in the United Kingdom found that music was the most interesting news topic for girls aged 12 to 15 years old, with 59 percent saying that they found it interesting to read, watch, or listen to news about music, singers, and musicians. Interest in news topics often varied according to gender: boys were keener on news about science and technology or sports than their female counterparts, whereas girls were more likely to enjoy news about fashion and beauty or celebrities and famous people.

Introduction

Eros Now Statistics: Established in 2012, Eros Now is one of India’s leading streaming services that operates heavily in the digital entertainment industry. The platform is managed by Eros International, which provides numerous Bollywood films, regional cinema from India, and original content that appeals to a large audience throughout India and around the world. In this digital streaming age where media consumption is being reshaped, Eros Now has strategically positioned itself as a formidable player through an extensive film library and exclusive offerings as it seeks to attract and retain subscribers.

The latest Eros Now statistics show that Eros Now has acquired a significant user base, thus indicating its stature and popularity among the players involved in the Indian entertainment sector. The growth experienced by this platform has been attributed to partnerships within different regions, such as focusing on regionalised content and enhancing customer experience, among others.

This article presents Eros Now statistics and trends on Eros Now’s current subscribers, the content it offers, and its market position. By exploring these metrics, we are able to understand the role played by Eros now in current transformations taking place in terms of digital media and how it affects the wider streaming industry altogether.

This statistic shows the number of packages of Sunkist Fun Fruits nutritional snacks eaten within one month in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, 1.28 million Americans consumed 5 or more packages in 2020.

This bar chart displays books by publication date and is filtered where the author includes Jane Flinn and the book includes All things history : learning the past with fun facts. The data is about books.

A random sample of households were invited to participate in this survey. In the dataset, you will find the respondent level data in each row with the questions in each column. The numbers represent a scale option from the survey, such as 1=Excellent, 2=Good, 3=Fair, 4=Poor. The question stem, response option, and scale information for each field can be found in the var "variable labels" and "value labels" sheets. VERY IMPORTANT NOTE: The scientific survey data were weighted, meaning that the demographic profile of respondents was compared to the demographic profile of adults in Bloomington from US Census data. Statistical adjustments were made to bring the respondent profile into balance with the population profile. This means that some records were given more "weight" and some records were given less weight. The weights that were applied are found in the field "wt". If you do not apply these weights, you will not obtain the same results as can be found in the report delivered to the Bloomington. The easiest way to replicate these results is likely to create pivot tables, and use the sum of the "wt" field rather than a count of responses.

Ice cream consumption is a global phenomenon with a wide variety of flavors and options available. This article explores interesting statistics about ice cream consumption, including global consumption, per capita consumption, popular flavors, production and sales, frozen treats industry, seasonal consumption, health and dietary trends, and ice cream parlors and chains.

Detailed Active addresses (weekly) metrics and analytics for pump.fun, including historical data and trends.

A survey conducted in the United Kingdom (UK) in early 2024 on children's news consumption found that music was the most popular news topic among children aged 12 to 15 years old, with 49 percent of all respondents saying that they were interested in news about music, singers, and musicians. Respondents aged 15 years were more interested in news about music than their younger peers and also among the most keen to read about serious events happening nationally and internationally, whilst 12-year-olds were more engaged with environmental news than older teens.

GUI21 - Activities carried out for fun by respondents aged 25 years. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Activities carried out for fun by respondents aged 25 years...

This statistic shows the barriers preventing Baby Boomers from having fun during multi-generational travel in the United States as of February 2015. During the survey, ten percent of respondents said that technology got in the way of them having fun during their most recent multi-generational trip.

In 2018, T4F Entretenimento S.A. in Brazil reported a net revenue of 598.4 million Brazilian reals, down from 652.9 million reals recorded one year before. The entertainment company, also known as Time for Fun, provides organizational and promotional services for concerts, theaters, and other cultural or recreational events.Recently, over one third of Brazilians who participated in a survey said that they were aged between 16 and 20 years when they most discovered new songs.

Fun facts to engage students : questions to inspire thinking and learning is a book. It was written by Jane Flinn and published by Rowman&Littlefield Publishers in 2018.

de Rigo, D. (2012). Portable pseudo-random reference sequences with Mersenne Twister using GNU Octave. Mastrave project technical report. FigShare Digital Science. doi: 10.6084/m9.figshare.94593

Portable pseudo-random reference sequences with Mersenne Twister using GNU Octave

Mastrave project technical report

Daniele de Rigo

Abstract: Computationally intensive numerical tasks such as those involving statistical resampling, evolutionary techniques or Monte Carlo based applications are known to require robust algorithms for generating large sequences of pseudo-random numbers (PRN). While several languages, libraries and computing environments offer suitable PRN generators, the underlying algorithms and parametrization widely differ. Therefore, easily replicating a certain PRN sequence generally implies forcing researchers to use a very specific language or computing environment, also paying attention to its version, possible critical dependencies or even operating system and computer architecture.

Despite the awareness of the benefits of reproducible research is rapidly growing, the definition itself of “reproducibility” for PRN based applications may lead to diverging interpretations and expectations. Where the cardinality of PRN sequences needed for data to be processed is relatively moderate, the paradigm of reproducible research is in principle suitable to be applied not only to algorithms, free software, data and metadata (classic reproducible research, CRR), but also to the involved pseudo-random sequences themselves (deep reproducible research, DRR). This would allow not only the “typical” scientific results to be reproducible “except for PRN-related statistical fluctuations”, but also the exact results published by a research team to be independently reproduced by other scientists - without of course preventing sensitivity analysis with different PRN sequences, as even classic reproducible research should easily allow.

However, finding reference sequences of pseudo random numbers suitable to enable such a deep reproducibility may be surprisingly difficult. Here, sequences eligible to be used as reference dataset of uniformly distributed pseudo-random numbers are presented. The dataset of sequences has been generated using Mersenne Twister with a period of 2^19937-1, as implemented in GNU Octave (version 3.6.1) with the Mastrave modelling library. The sequences are available in plain text format and also in the format MATLAB version 7, which is portable in both GNU Octave and MATLAB computing environments. The plain text format uses a fixed number of characters per each PRN so allowing random access to sparse PRNs to be easily done in constant time without needing a whole file to be loaded. This straightforward solution is language neutral, with the advantage of enabling wide and immediate portability for the presented reference PRN dataset, irrespective of the language, libraries, computing environment of choice for the users.

About this dataset

Context

The dataset tabulates the population of Random Lake by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Random Lake across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 52.41% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Random Lake is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Random Lake total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Random Lake Population by Race & Ethnicity. You can refer the same here

Financial overview and grant giving statistics of Just for Fun Baseball

Financial overview and grant giving statistics of Reruns R Fun Inc

Financial overview and grant giving statistics of For the Fun of Fit Inc.

This statistic shows the results of a survey conducted in Finland on opinions on the most interesting social media phenomena among social media professionals as of January 2018. According to the survey, algorithms were the most interesting thing happening in the social media in 2018, according to 29 percent of the social media professionals, followed by videos with 25 percent. The least interesting social media phenomenon was the adoption of the new General Data Protection Regulation Law in the EU, with five percent of the respondents.