Descriptive statistics (number of participants (N), percentages (%), means and Standard Deviations (SD) and) for the three time points (T0-2), changes between two time points (T1-T0, T2-T1) and the time-effects.

Question Paper Solutions of chapter Correlation and Regression Analysis of Numerical and statistical Methods, 5th Semester , Bachelor of Computer Application 2020-2021

Airport: No of Passenger: International data was reported at 104,251,518.000 Person in 2016. This records an increase from the previous number of 98,023,234.000 Person for 2015. Airport: No of Passenger: International data is updated yearly, averaging 75,272,913.000 Person from Dec 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 104,251,518.000 Person in 2016 and a record low of 36,035,447.000 Person in 1999. Airport: No of Passenger: International data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.TA002: Airport Statistics: Number of Passenger.

ETH Zurich processed data of publications from 2021 to 2024 to provide the absolute figures on Open Access shares of scientific publications by affiliated authors via the Swiss Open Access Monitor (Repository Monitor). Four types of resources are surveyed: journal articles, books, book parts, and conference papers. The dataset includes publication data collected from the institutional Open Access repository, Research Collection, and Unpaywall, which underlie the reported absolute figures for the Repository monitor survey in 2025.

This replication package reproduces the results for the paper entitled "Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects," which is published in The Journal of the Royal Statistical Society: Series C (Applied Statistics), DOI: https://doi.org/10.1111/rssc.12439. This package contains 2 Stata Do-Files (.do) that produce the simulated dataset and run one replication of the simulation (the main paper runs 1,000 replications), and 2 Stata Data Files (.dta) that are used for the simulation in the main paper. (2020-02-29).

Number of Students: Higher Education: ytd: Malaysia: Queensland data was reported at 1,174.000 Person in Dec 2024. This stayed constant from the previous number of 1,174.000 Person for Nov 2024. Number of Students: Higher Education: ytd: Malaysia: Queensland data is updated monthly, averaging 1,615.500 Person from Jan 2002 (Median) to Dec 2024, with 276 observations. The data reached an all-time high of 2,204.000 Person in Dec 2010 and a record low of 675.000 Person in Jan 2022. Number of Students: Higher Education: ytd: Malaysia: Queensland data remains active status in CEIC and is reported by Department of Education. The data is categorized under Global Database’s Australia – Table AU.G120: Education Statistics: Number of Enrolments.

Hogs and pigs statistics, inventory number by class and semi-annual period, United States and Canada (head x 1,000). Data are available on a semi-annual basis.

Around *** million families in the United States had three or more children under 18 living in the household in 2023. In that same year, about ***** million households had no children under 18 living in the household.

More than half of Egypt's *** million mobile data subscriptions were ** connections in 2023. Around *** million used the latest ** mobile technology, with this figure expected to exceed *** million in 2024.

During the fourth quarter of 2024, data breaches exposed more than a million user data records in the United Kingdom (UK). The figure decreased significantly from nearly 41 million in the quarter prior. Overall, the time between the first quarter of 2022 and the fourth quarter of 2023, saw the lowest number of exposed user data accounts.

This statistic gives information on the number of registered members on Goodreads between May 2011 and July 2019. As of the last reported month, the book review and recommendation site had accumulated ** million members.

1. The number of full-time faculty in various departments of colleges and universities.2. The data is the same as that on the "Teaching 1-1. Number of Full-time Faculty - Statistics by Department (Institute)" and "Teaching 1-2. Number of Full-time Faculty - Statistics by School" of the college and university affairs information open platform.

The complete dataset used in the analysis comprises 36 samples, each described by 11 numeric features and 1 target. The attributes considered were caspase 3/7 activity, Mitotracker red CMXRos area and intensity (3 h and 24 h incubations with both compounds), Mitosox oxidation (3 h incubation with the referred compounds) and oxidation rate, DCFDA fluorescence (3 h and 24 h incubations with either compound) and oxidation rate, and DQ BSA hydrolysis. The target of each instance corresponds to one of the 9 possible classes (4 samples per class): Control, 6.25, 12.5, 25 and 50 µM for 6-OHDA and 0.03, 0.06, 0.125 and 0.25 µM for rotenone. The dataset is balanced, it does not contain any missing values and data was standardized across features. The small number of samples prevented a full and strong statistical analysis of the results. Nevertheless, it allowed the identification of relevant hidden patterns and trends.

Exploratory data analysis, information gain, hierarchical clustering, and supervised predictive modeling were performed using Orange Data Mining version 3.25.1 [41]. Hierarchical clustering was performed using the Euclidean distance metric and weighted linkage. Cluster maps were plotted to relate the features with higher mutual information (in rows) with instances (in columns), with the color of each cell representing the normalized level of a particular feature in a specific instance. The information is grouped both in rows and in columns by a two-way hierarchical clustering method using the Euclidean distances and average linkage. Stratified cross-validation was used to train the supervised decision tree. A set of preliminary empirical experiments were performed to choose the best parameters for each algorithm, and we verified that, within moderate variations, there were no significant changes in the outcome. The following settings were adopted for the decision tree algorithm: minimum number of samples in leaves: 2; minimum number of samples required to split an internal node: 5; stop splitting when majority reaches: 95%; criterion: gain ratio. The performance of the supervised model was assessed using accuracy, precision, recall, F-measure and area under the ROC curve (AUC) metrics.

Annual statistics of the number of ships and types of goods (on each dock)

Supporting tables and figures. Table S1. The impact of different effect sizes on gene selection strategies when the sample size is fixed and relatively small. Mean (STD) of true positives computed from SIMU1 with 20 repetitions are reported. Sample size: . Total number of genes: 1000. Number of differentially expressed genes: 100. Number of permutations for Nstat: 10000. The significance threshold: 0.05. Table S2. The impact of different effect sizes on gene selection strategies when the sample size is fixed and relatively small. Mean (STD) of false positives computed from SIMU1 with 20 repetitions are reported. Sample size: . Total number of genes: 1000. Number of differentially expressed genes: 100. Number of permutations for Nstat: 10000. The significance threshold: 0.05. Table S3. The impact of different sample sizes on gene selection strategies when the effect size is fixed and relatively small. Mean (STD) of true positives computed from SIMU2 with 20 repetitions are reported. Effect size: . Total number of genes: 1000. Number of differentially expressed genes: 100. Number of permutations for Nstat: 10000. The significance threshold: 0.05. Table S4. The impact of different sample sizes on gene selection strategies when the effect size is fixed and relatively small. Mean (STD) of false positives computed from SIMU2 with 20 repetitions are reported. Effect size: . Total number of genes: 1000. Number of differentially expressed genes: 100. Number of permutations for Nstat: 10000. The significance threshold: 0.05. Table S5. The impact of different sample sizes on gene selection strategies when the effect size is fixed and relatively large. Mean (STD) of true positives computed from SIMU2 with 20 repetitions are reported. Effect size: . Total number of genes: 1000. Number of differentially expressed genes: 100. Number of permutations for Nstat: 10000. The significance threshold: 0.05. Table S6. The impact of different sample sizes on gene selection strategies when the effect size is fixed and relatively large. Mean (STD) of false positives computed from SIMU2 with 20 repetitions are reported. Effect size: . Total number of genes: 1000. Number of differentially expressed genes: 100. Number of permutations for Nstat: 10000. The significance threshold: 0.05. Table S7. The impact of different sample sizes on gene selection strategies with simulation based on biological data. Mean (STD) of true positives computed from SIMU-BIO with 20 repetitions are reported. Total number of genes: 9005. Number of permutations for Nstat: 100000. The significance threshold: 0.05. Table S8. The impact of different sample sizes on gene selection strategies with simulation based on biological data. Mean (STD) of false positives computed from SIMU-BIO with 20 repetitions are reported. Total number of genes: 9005. Number of permutations for Nstat: 100000. The significance threshold: 0.05. Table S9. The numbers of differentially expressed genes detected by different selection strategies. Total number of genes: 9005. Number of permutations for Nstat: 100000. The significance threshold: 0.05. Figure S1. Histogram of pairwise Pearson correlation coefficients between genes computed from HYPERDIP without normalization. Number of genes: 9005. Number of arrays: 88. (PDF)

No of Hospital Bed: North West: Liguria: Long Term Care data was reported at 330.000 Unit in 2015. This records an increase from the previous number of 180.000 Unit for 2014. No of Hospital Bed: North West: Liguria: Long Term Care data is updated yearly, averaging 47.000 Unit from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 394.000 Unit in 1994 and a record low of 0.000 Unit in 2008. No of Hospital Bed: North West: Liguria: Long Term Care data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Italy – Table IT.Eurostat: Health Care Statistics: Number of Hospital Bed.

Number of hospitalization benefits and amounts of labor insurance occupational injury benefits from 2021 to April 2022 - by gender and industry.

How many people use X/Twitter?

As of the first quarter of 2019, X/Twitter averaged 330 million monthly active users, a decline from its all-time high of 336 MAU in the first quarter of 2018. As of the first quarter of 2019, the company switched its user reporting metric to monetizable daily active users (mDAU).

X/Twitter

X/Twitter is a social networking and microblogging service, enabling registered users to read and post short messages called tweets. X/Twitter messages are limited to 280 characters and users are also able to upload photos or short videos. Tweets are posted to a publicly available profile or can be sent as direct messages to other users.

Part of the social platform’s appeal is the ability of users to follow any other user with a public profile, enabling users to interact with celebrities who regularly post on the social media site. Currently, the most-followed person on Twitter is singer Katy Perry with more than 107 million followers. Twitter has also become an important communications channel for governments and heads of state – U.S. President Donald Trump was the most-followed world leader on Twitter, followed by Pope Francis and Indian Prime Minister Narendra Modi.

Despite the widespread usage among the rich and famous, the decline in active users has not been impressing investors as the platform is largely reliant on delivering advertising to users in order to generate revenues. Twitter’s company revenue in 2018 amounted to three billion U.S. dollars, up from 2.44 billion in the preceding fiscal year. Twitter was only recently able to report a positive annual result for the first time, when the company generated 1.2 billion U.S. dollars in net income in 2018.

Difference, total number of items, processing, completed, uneven road, street light failure, park or sidewalk or street tree, ditch cover or manhole cover, standing water or sewage pipe, dirty environment, noise or pollution, scenic area maintenance, traffic number signs, traffic violations or road bullies or disturbing the peace, electricity related, water related, animal protection

CZ: Start-Up Procedures to Register a Business: Female data was reported at 9.000 Number in 2019. This stayed constant from the previous number of 9.000 Number for 2018. CZ: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 10.000 Number in 2007 and a record low of 8.000 Number in 2017. CZ: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.