Math 107 - Quantitative Reasoning - Fall 2023

Class Information

Instructor: Tuan Pham
  • Section 2: M, W, F: 9 - 9:50 AM at SCB 304, [Canvas]
  • Section 4: M, W, F: 11 - 11:50 AM at SCB 300/301, [Canvas]
    • [Syllabus]   [Class schedule]   [Textbook]   [MyLab Math]  

    Office Hours

    Monday, Wednesday, Friday: 12:30 - 2 PM at SCB 311, or by appointment

    Assignments

  • Homework problems are to be done in MyLab Math. List of sections covered is here.
  • Quizzes are given in class. See the class schedule above.
    [Quiz 1]   [Quiz 2]   [Quiz 3]   [Quiz 4]   [Quiz 5]  
    [Quiz 6]   [Quiz 7]   [Quiz 8]   [Quiz 9]  

    • Lecture notes

  • Review for Final Exam (Dec 1): Section 2, Section 4
  • Lecture 36 (Nov 29): counting techniques, permutations, combinations; Worksheet
  • Lecture 35 (Nov 27): practice on expected values
  • Lecture 34 (Nov 22): Law of Large Numbers, expected values; Worksheet
  • Lecture 33 (Nov 20): AND and OR probabilities
  • Lecture 32 (Nov 17): practice on probabilities; independence of events; Worksheet
  • Lecture 31 (Nov 15): outcomes, events, probabilities; Worksheet
  • Lecture 30 (Nov 13): margin or error, confidence interval
  • Lecture 29 (Nov 10): statistical significance, hypothesis testing
  • Lecture 28 (Nov 8): normal distribution (cont.), hypothesis testing; Worksheet
  • Midterm II review and cheat sheet
  • Lecture 27 (Nov 3): normal distribution, z-score, quantile; Worksheet
  • Lecture 26 (Nov 1): standard deviation, normal distribution; Worksheet
  • Lecture 25 (Oct 30): range, quartile, standard deviation
  • Lecture 24 (Oct 27): distribution, range, quartile; Worksheet
  • Lecture 23 (Oct 25): mean, median, mode; Worksheet
  • Lecture 22 (Oct 23): correlation of variables; Worksheet
  • Lecture 21 (Oct 20): visualize data by charts; Worksheet
  • Lecture 20 (Oct 18): how to obtain sample statistics; Worksheet
  • Lecture 19 (Oct 16): analyze a statistical study; Worksheet
  • Lecture 18 (Oct 13): fundamentals of statistics: population and sample; Worksheet
  • Lecture 17 (Oct 11): amortization (cont.)
  • Lecture 16 (Oct 9): amortization, bond Worksheet
  • Lecture 15 (Oct 6): one-time saving versus monthly saving; Worksheet
  • Lecture 14 (Oct 4): annuity
  • Midterm I review
  • Lecture 13 (Sep 29): continuous compounding, annual percentage yield; Worksheet
  • Lecture 12 (Sep 27): periodic compounding
  • Lecture 11 (Sep 25): simple interest and compound interest, university endowment; Worksheet
  • Lecture 10 (Sep 22): calculate net cashflow (static model); Worksheet
  • Lecture 9 (Sep 20): rounding numbers, significant digits; Worksheet
  • Lecture 8 (Sep 18): ordinary notation and scientific notation; Worksheet
  • Lecture 7 (Sep 15): percentage, percentage of percentage; Worksheet
  • Lecture 6 (Sep 13): inductive and deductive arguments; Worksheet
  • Lecture 5 (Sep 11): Venn diagram, inductive and deductive arguments
  • Lecture 4 (Sep 8): sets and their representations; Worksheet
  • Lecture 3 (Sep 6): logical rules; Worksheet
  • Lecture 2 (Sep 1): premises, conclusions, fallacies; Worksheet
  • Lecture 1 (Aug 30): introduction; Worksheet

    • Supplement materials and extra credit

  • Extract sample statistics from histogram
  • Housing price on Zillow
  • Education degrees
  • p or (q or r) versus (p or q) or r

    • Links

    Joseph F. Smith Library, Testing Center, Math Lab
    This page was last modified on Saturday, Dec 2, 2023.