This article discusses how to make statistical graphics a more prominent element of the undergraduate statistics curricula. The focus is on several different types of assignments that exemplify how to incorporate graphics into a course in a pedagogically meaningful way. These assignments include having students deconstruct and reconstruct plots, copy masterful graphs, create one-minute visual revelations, convert tables into “pictures,” and develop interactive visualizations, for example, with the virtual earth as a plotting canvas. In addition to describing the goals and details of each assignment, we also discuss the broader topic of graphics and key concepts that we think warrant inclusion in the statistics curricula. We advocate that more attention needs to be paid to this fundamental field of statistics at all levels, from introductory undergraduate through graduate level courses. With the rapid rise of tools to visualize data, for example, Google trends, GapMinder, ManyEyes, and Tableau, and the increased use of graphics in the media, understanding the principles of good statistical graphics, and having the ability to create informative visualizations is an ever more important aspect of statistics education. Supplementary materials containing code and data for the assignments are available online.

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 statistic shows the number of global mobility assignments of KPMG by service in the fiscal years 2010 and 2011. In 2010, KPMG had *** global mobility assignments in the tax domain.

Contains detailed information on 10.0 million patent assignments and other transactions recorded at the USPTO since 1970 and involving roughly 17.8 million patents and patent applications. It is derived from the recording of patent transfers by parties with the USPTO.

Data created during Computer Statistics assignment

Context and methodology

• This is used for the project in the context of the "Introduction to Research Data Management" course, 2024 winter semester. Originally it was made for a homework assignment in the "Computer Statistics" course, 2023 winter semester.
• The dataset consists of the following: code (and comment) written in the R markdown language that is to be compiled and executed in order to generate the 2 datasets created in the project; .pdf file generated from compiling and executing the aforementioned R code using RStudio; .txt file generated as part of one of the exercises in the assignment, also by compiling and executing the R code.
• The code was written by Vseslav Levchenko in R, using RStudio.

Technical details

• The code was written in RStudio and it is recommended to use it when working with R, however it is not strictly necessary. However, it is required to install the R language itself. For the other files, standard software like Microsoft Excel and any PDF reader are all that is needed.
• The code also contains necessary comments, and a .pdf file with the assignment's tasks is provided separately.

Dataset

This dataset was created by Darody Sylvain Obei

Contents

In 2020, a majority of ** percent of agency worker jobs in the Asia-Pacific region lasted over three months. Only *** percent of the assignments lasted less than *** month. Agency work refers to a segment of the private employment services industry. It describes a triangular employment model in which the employee is under contract at a staffing agency but works for a third party client company.

This dataset contains information about a number of participants (participants.csv) to a workshop that need to be assigned to a number of rooms (rooms.csv).

Restrictions: 1.- The workshop has 5 different activities 2.- Each participant has indicated their first, second and third preferences for the activities available (Priority1, Priority2 and Priority3 columns in participants.csv) 3.- Participants are part of teams (Team column in participant.csv) and should be assigned together 4.- Each Activity lasts for half a day, and each participant will take part in one activity in the morning and one activity in the afternoon. 5.- Each Room must contain the SAME activity in the morning and in the afternoon.

Requirements A.- Define the way i which each participant should be assigned through a csv file in the format Name;ActivityAM;RoomAM, ActivityPM;RoomPM B.- Maximize the number of people getting their 1st and 2nd preferences.

The Freight Analysis Framework (FAF5) - Highway Network Assignments was created from 2017 base year and 30 year forecast data and was published on April 11, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This data package includes tabular files with results from FAF5 2017, 2022, and 2050 baseline assignments to represent freight flows by three separate truck only flows type (Total Truck, Single Unit, and Combination Unit) and three freight flow markets (domestic, import and export). 2017 and 2022 model years contain 6 data tables and 2050 model year contains 11 data tables, representing the truck only flows. Each data table can be linked to the FAF5 network geography to display truck flows by link.

The Impact of Homework Deadline Times on College Student Performance and Stress: A Quasi-Experiment in Business Statistics

This statistical information compiles research support performance by year from 2009 to the present. It provides comprehensive information on various aspects of support, including total support and R&D support, and details key information such as research project-specific support details, project year, and language. This data can be utilized for various purposes, including establishing research support policies, effectively allocating budgets, and analyzing research outcomes. It is particularly suitable as a reference for researchers, policymakers, and institutional officials to understand research support trends and develop more effective support strategies.

Financial overview and grant giving statistics of Assignments International Inc.

Dataset gathered from Google Trend using PyTrends library. It contains information about search queries for Prepared Homework (Готовые Домашние Задания) from Russia by different school subjects and by different school grades. Data was gathered from 2007 to 2021.

Homework_regions also contains data by Russian region. Versions with eng contains data on English (otherwise on Russian).

Dataset Structure

  Data Instances

{ "headline": "string", "label": "string" }

  Data Fields

The data fields are: headline: a string feature. label: a classification label, with possible values including positive, negative and neutral.

  Data Splits

The nlp-assignment-news-data dataset has 3 splits: train, validation, and test.

  How to use it

from datasets import load_dataset

This download train, validation and test sets.

ds =… See the full description on the dataset page: https://huggingface.co/datasets/hamza-student-123/nlp-assignment-news-data.

Contains detailed information on roughly 10.0 million patent assignments and other transactions recorded at the USPTO since 1970 and involving roughly 17.8 million patents and patent applications. For more information: http://www.uspto.gov/learning-and-resources/electronic-data-products/data

DOM Formula Assignment Dataset

Training and Testing Data for Machine Learning-Based Molecular Formula Assignment in Fulvic Acid DOM Mass Spectra

Paper: Under review

  Abstract

Dissolved organic matter (DOM) is a critical component of aquatic ecosystems, with the fulvic acid fraction (FA-DOM) exhibiting high mobility and ready bioavailability to microbial communities. While understanding the molecular composition is a vital area of study, the heterogeneity of the… See the full description on the dataset page: https://huggingface.co/datasets/bilalsm/dom-formula-assignment-data.

Financial overview and grant giving statistics of Ladies On Assignment Inc

According to a 2024 survey conducted in Indonesia, around ** percent of respondents used AI tools to get ideas or inspiration in doing their school or university assignments. Additionally, over ** percent of student respondents reported using AI to save time in doing those assignments.

Download this sample dataset and proceed with the assignment as described.