Pen-and-paper homework and project-based learning are both commonly used instructional methods in introductory statistics courses. However, there have been few studies comparing these two methods exclusively. In this case study, each was used in two different sections of the same introductory statistics course at a regional state university. Students’ statistical literacy was measured by exam scores across the course, including the final. The comparison of the two instructional methods includes using descriptive statistics and two-sample t-tests, as well authors’ reflections on the instructional methods. Results indicated that there is no statistically discernible difference between the two instructional methods in the introductory statistics course.

the Department of Energy’s Enterprise Project Management Organization (EPMO), providing leadership and assistance in developing and implementing DOE-wide policies, procedures, programs, and management systems pertaining to project management, and independently monitors, assesses, and reports on project execution performance. The office validates project performance baselines–scope, cost and schedule–of the Department’s largest construction and environmental clean-up projects prior to budget request to Congress—an active project portfolio totaling over $30 billion. The office also serves as Executive Secretariat for the Department’s Energy Systems Acquisition Advisory Board (ESAAB) and the Project Management Risk Committee (PMRC). In these capacities, the Director is accountable to the Deputy Secretary.

Dataset

This dataset was created by Dhinesh Gupthaa K

Contents

In 2024, the total number of open source projects taken up was about *** million. Of these, the majority was through JavaScript with about *** million projects, far more than those in any other language.

This dataset is for the Status of Partner led Projects with ratings of Red, Yellow and Green. It provides the monthly count, target and Year to date values for every month.

Financial overview and grant giving statistics of Project America

Analysis of the projects proposed by the seven finalists to USDOT's Smart City Challenge, including challenge addressed, proposed project category, and project description. The time reported for the speed profiles are between 2:00PM to 8:00PM in increments of 10 minutes.

Crowdfunding has become one of the main sources of initial capital for small businesses and start-up companies that are looking to launch their first products. Websites like Kickstarter and Indiegogo provide a platform for millions of creators to present their innovative ideas to the public. This is a win-win situation where creators could accumulate initial fund while the public get access to cutting-edge prototypical products that are not available in the market yet.

At any given point, Indiegogo has around 10,000 live campaigns while Kickstarter has 6,000. It has become increasingly difficult for projects to stand out of the crowd. Of course, advertisements via various channels are by far the most important factor to a successful campaign. However, for creators with a smaller budget, this leaves them wonder,

"How do we increase the probability of success of our campaign starting from the very moment we create our project on these websites?"

Data Sources

All of my raw data are scraped from Kickstarter.com.

1. First 4000 live projects that are currently campaigning on Kickstarter (live.csv)

   • Last updated: 2016-10-29 5pm PDT
   • amt.pledged: amount pledged (float)
   • blurb: project blurb (string)
   • by: project creator (string)
   • country: abbreviated country code (string of length 2)
   • currency: currency type of amt.pledged (string of length 3)
   • end.time: campaign end time (string "YYYY-MM-DDThh:mm:ss-TZD")
   • location: mostly city (string)
   • pecentage.funded: unit % (int)
   • state: mostly US states (string of length 2) and others (string)
   • title: project title (string)
   • type: type of location (string: County/Island/LocalAdmin/Suburb/Town/Zip)
   • url: project url after domain (string)

2. Top 4000 most backed projects ever on Kickstarter (most_backed.csv)

   • Last updated: 2016-10-30 10pm PDT
   • amt.pledged
   • blurb
   • by
   • category: project category (string)
   • currency
   • goal: original pledge goal (float)
   • location
   • num.backers: total number of backers (int)
   • num.backers.tier: number of backers corresponds to the pledge amount in pledge.tier (int[len(pledge.tier)])
   • pledge.tier: pledge tiers in USD (float[])
   • title
   • url

See more at http://datapolymath.paperplane.io/

The statistic shows the global market size of the IT project and portfolio management (IT PPM) market from 2014 to 2019 and a forecast for 2024. In 2019, The total market size of the global IT project and portfolio management (IT PPM) was at **** billion U.S. dollars.

Annual Statistics of Approved Projects under General Support Programme

Dataset

This dataset was created by Glitch_in_Vector

Contents

Chunk_0 for me, Choose others as you want.

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

This data set contains DOT construction project information. The data is refreshed nightly from multiple data sources, therefore the data becomes stale rather quickly.

This dataset is constructed from project activity experience.

Columns: not done - Projects that didn't worked out until accomplishment (0 = done // 1 = not done) time required - Time in hours estimated for the accomplishment cost - Cost per hour

Financial overview and grant giving statistics of Washington Research Project Inc

Files included are original data inputs on stream fishes (fish_data_OEPA_2012.csv), water chemistry (OEPA_WATER_2012.csv), geographic data (NHD_Plus_StreamCat); modeling files for generating predictions from the original data, including the R code (MVP_R_Final.txt) and Stan code (MV_Probit_Stan_Final.txt); and the model output file containing predictions for all NHDPlus catchments in the East Fork Little Miami River watershed (MVP_EFLMR_cooc_Final). This dataset is associated with the following publication: Martin, R., E. Waits, and C. Nietch. Empirically-based modeling and mapping to consider the co-occurrence of ecological receptors and stressors. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 613(614): 1228-1239, (2018).

The achievements of the 110 Year Low Carbon Sustainable Home Project Promotion (Online Document Signing Quantity - Grassroots Agencies).

This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/244 This database represents a list of community solar projects identified through various sources as of June 2019. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the souces e.g. press releases may be duplicated in the list. Blank spaces represent missing information. NREL invites input to improve the database including to - correct erroneous information - add missing projects - fill in missing information - remove inactive projects. Updated information can be submitted to the contact(s) located on the current data set page linked at the top.

This report summarises key economic factors affecting the success of recent resource and environmental management projects in the Pacific.

The Project Data table includes all projects that entities claim they have eminent domain authority to undertake. Also included in the table are entity names, report years, and a unique report ID number. The ID number can be used to cross-reference the project data with the Eminent Domain table.