Statistics of layers of Cayley graphs generated by 2 or 3 random permutations (with or whithout their inverses) which span the whole S_n. The numbers of samples are 10k, 20k, 40k. Statistics include diamters of random graphs, means and standard deviations of layers.

Comprehensive YouTube channel statistics for Club Random Podcast, featuring 739,000 subscribers and 276,346,054 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in US. Track 1,618 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

This site is the homepage of the textbook Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik.

This data set contains the result of applying the NIST Statistical Test Suite on accelerometer data processed for random number generator seeding. The NIST Statistical Test Suite can be downloaded from: http://csrc.nist.gov/groups/ST/toolkit/rng/documentation_software.html. The format of the output is explained in http://csrc.nist.gov/publications/nistpubs/800-22-rev1a/SP800-22rev1a.pdf.

Comprehensive YouTube channel statistics for Random Hands, featuring 6,260,000 subscribers and 1,380,314,937 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 155 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

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 majority of male population, with 53.51% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Gender. You can refer the same here

Comprehensive demographic dataset for Random Lake, WI, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Background The evaluation of randomized trials for cancer screening involves special statistical considerations not found in therapeutic trials. Although some of these issues have been discussed previously, we present important recent and new methodologies. Methods Our emphasis is on simple approaches. Results We make the following recommendations: (1) Use death from cancer as the primary endpoint, but review death records carefully and report all causes of death (2) Use a simple "causal" estimate to adjust for nonattendance and contamination occurring immediately after randomization (3) Use a simple adaptive estimate to adjust for dilution in follow-up after the last screen Conclusion The proposed guidelines combine recent methodological work on screening endpoints and noncompliance/contamination with a new adaptive method to adjust for dilution in a study where follow-up continues after the last screen. These guidelines ensure good practice in the design and analysis of randomized trials of cancer screening.

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Financial overview and grant giving statistics of Random Acts Colorado

Model fit statistics with OS, fixed- and random-effects model.

NIDM Results

Collection description

Subject species

homo sapiens

Map type

T

Financial overview and grant giving statistics of Random Acts

The Random Number Chips market is a dynamic and essential component of various industries, providing crucial solutions for generating random numbers used in numerous applications ranging from gaming and lottery systems to cryptography and telecommunications. These chips, which utilize advanced algorithms to produce

Network statistics selected for each exponential random graph model.

Created a multi-tab Excel statistical project where I generated synthetic normally-distributed data, built random sample extraction logic, calculated descriptive and inferential statistics, analysed variable correlations and performed linear regression with visualisation.

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This is a large, low-quality entropy source, suitable for monte carlo and other simulations.

Statistical Area Level of Education of Population Aged 15 and Over_ Secondary Release Area, Statistical Area Level of Education of Population Aged 15 and Over_ Primary Release Area, Statistical Area Level of Education of Population Aged 15 and Over_ Minimum Statistical AreaThe Ministry of the Interior's Statistics Department provides the latest annual statistical data for various counties and cities on the Government Open Data Platform in XML format. When viewed in a browser, it appears as a series of characters and numbers. Typically, this format is suitable for programmers to develop applications using the data, rather than being random characters. If you wish to download the data in CSV format (which can be viewed in Excel), please refer to the Social Economic Data Service Platform on the Land Information System website (segis.moi.gov.tw) for downloading.