{
  "college": "cuesta-college",
  "edition": "2026-2027",
  "code": "STAT",
  "name": "Statistics",
  "sourceUrl": "https://cuesta.curriqunet.com/catalog/iq/29980/29981/32584",
  "courses": [
    {
      "code": "STAT 147S",
      "subject": "STAT",
      "number": "147S",
      "title": "STATISTICS SUPPORT",
      "units": "1",
      "hours": "1 hours per week: (1.00 lecture hours/0.00 lab hours/0.00 activity hours)",
      "corequisite": "STAT C1000",
      "cid": [],
      "transfer": [],
      "description": "Provides just-in-time instruction and review of core prerequisite skills, competencies, and concepts necessary for success in STAT C1000, Introduction to Statistics. Includes topics from prealgebra, elementary and intermediate algebra, and the development of critical thinking skills needed for statistical analysis. Intended for students who are concurrently enrolled in STAT C1000.",
      "notes": [
        "Credit - Degree Applicable",
        "P/NP Only"
      ],
      "offered": [
        {
          "term": "fall-2026",
          "name": "Fall 2026",
          "sections": 2,
          "open": 0,
          "url": "/c/cuesta-college/schedule/fall-2026/stat/#stat-147s",
          "subject": "STAT"
        }
      ]
    },
    {
      "code": "STAT C1000",
      "subject": "STAT",
      "number": "C1000",
      "title": "INTRODUCTION TO STATISTICS",
      "units": "4",
      "hours": "4 hours per week: (4.00 lecture hours/0.00 lab hours/0.00 activity hours)",
      "prerequisite": "Placement as determined by the college’s multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra.",
      "cid": [
        "MATH 110"
      ],
      "transfer": [
        "CSU",
        "UC"
      ],
      "description": "This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines.",
      "notes": [
        "Credit - Degree Applicable",
        "Letter Grade Only"
      ],
      "offered": [
        {
          "term": "summer-2026",
          "name": "Summer 2026",
          "sections": 6,
          "open": 0,
          "url": "/c/cuesta-college/schedule/summer-2026/stat/#stat-247",
          "subject": "STAT",
          "listedAs": "STAT 247"
        },
        {
          "term": "fall-2026",
          "name": "Fall 2026",
          "sections": 20,
          "open": 1,
          "url": "/c/cuesta-college/schedule/fall-2026/stat/#stat-247",
          "subject": "STAT",
          "listedAs": "STAT 247"
        }
      ]
    }
  ]
}