{
  "annotation_id": "d3e9f46c-f7e1-48e8-9baa-7f22c8950826",
  "date_created": "2026-03-02T18:01:03.665000Z",
  "date_modified": "2026-03-02T18:01:03.665000Z",
  "file_hash": "4e7c6e247570b83f489f11f086647fa558ef61ae92fcf58ae64bead37a53b5b8",
  "private": false,
  "record": {
    "abstract": "Despite several deficiencies, the use of spreadsheets in statistics courses\nis increasingly common. In this paper we discuss many shortcomings resulting\nfrom this approach. We suggest a technique integrating a spreadsheet and a\ndedicated software package (R), that takes advantage of the characteristics of\nboth programs. We also present a simple protocol of transferring data from the\nspreadsheet to R that can be safely used even in introductory courses.",
    "arxiv_id": "physics/0601083",
    "authors": [
      "Matteo Dell\u0027Omodarme",
      "Giada Valle"
    ],
    "categories": [
      "physics.data-an"
    ],
    "title": "Teaching statistics with Excel and R",
    "url": "https://arxiv.org/abs/physics/0601083"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "47831565-3abd-4351-9fd3-6219fbb33eb7",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}