91福利社

Course Outlines
Course Outlines

Statistics — MATS 1251

  1. Course Description
    • Credits: 4.00
    • Lecture Hours/Week: 3.00
    • Lab Hours/Week: 2.00
    • OJT Hours/Week: 0
    • Prerequisites:
      • MATS 0310: Algebra Skills Lab
      • MATS 0640: Mathematical Literacy
      • MATS 0700: Algebra Emporium
    • Corequisites: None
    • MnTC Goals:
      • 04 – Mathematical/Logical Reasoning
    Fundamental principles of inferential statistics are presented in lecture augmented by computer labs using Excel. Essential topics include sampling methods; descriptive statistics; counting and probability; poisson, binomal, normal and other probability distributions; confidence intervals; hypothesis testing; inferences from two samples; correlation and regression. Optional topics include goodness-of-fit and contingency tables; ANOVA; nonparemetrics; and statistical process control. Meets MnTC Goal 4. Prerequisite: Math placement at the introductory college level.
  2. Course Effective Dates: 8/21/06 – Present
  3. Outline of Major Content Areas
      As noted on course syllabus
  4. Learning Outcomes
    1. Generate and interpret a wide variety of descriptive statistics and charts.
    2. Work with basic concepts of probability, including conditional probability, complements, compound events and Bayes? Theorem.
    3. Understand and work with fundamental probability distributions such as Poisson, binomial, uniform, and normal.
    4. Construct confidence interval estimates of proportion, mean, and standard deviation, interpreting results
    5. Perform one- and two-population hypothesis tests for proportion, mean (including matched pairs), and standard deviation, interpreting results.
    6. Use Excel to calculate experimental probabilities, work with probability distributions, generate confidence intervals, conduct hypothesis tests, and perform correlation and regression analyses
  5. Minnesota Transfer Curriculum Goal Area(s) and Competencies
      Goal 04 — Mathematical/Logical Reasoning
      • Clearly express mathematical/logical ideas in writing.
      • Explain what constitutes a valid mathematical/logical argument(proof).
      • Apply higher-order problem-solving and/or modeling strategies.
  6. Learner Outcomes Assessment
      As noted on course syllabus
  7. Special Information
      None noted