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AMS 7 Statmthdsbio Env Hlth

  • School:
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  • Professor:
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    Prado,R, draper, Abel, Lee, Morris, Un, unknown, Xi, Xai, xifara, JulieLee, Draper,D., Lee,H.K., Morris,R.D., LelysBravoDeGuenni, DavidDraper, TatianaXifara, Imannuel Williams, IAN WILLIAMS
  • Average Course Rating (from 6 Students)

    3.4/5
    Overall Rating Breakdown
    • 6 Advice
    • 5
      0%
    • 4
      33%
    • 3
      67%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 17%

    • Medium 83%

    • Hard 0%

  • Top Course Tags

    Great Intro to the Subject

    Go to Office Hours

    Math-heavy

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    • Profile picture
    Dec 20, 2017
    | No strong feelings either way.

    Not too easy. Not too difficult.

    Course Overview:

    Midterm and final are quite hard. Discussions are not helpful.

    Course highlights:

    Hypothesis testing and variance.

    Hours per week:

    0-2 hours

    Advice for students:

    Do the homework even though it is not required.

    • Fall 2017
    • IAN WILLIAMS
    • Yes
    • Always Do the Reading Participation Counts
    • Profile picture
    Jul 15, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    The course itself was taught in a reasonable pace. You learn z test, t test, X test, and various methods of hypothesis testing. I enjoyed interpreting data and the p value I got from a variety of problems, especially the health related ones dealing with statistical experiments on issues on placebos and smoking or non smoking patients.

    Course highlights:

    Job interviews for a data scientist requires excellent understanding of p value so I was glad that I mastered my classic statistical knowledge as it will be beneficial for future job interviews. Because of this class, I learned that I enjoyed interpreting the results of a statistical experiment more than how a experiment was designed (simple random sampling, replication, blinding, etc) which directs me to look into data science. In addition, I learned the distribution of data (center, shape, and spread), hypothesis testing, and probability--the highlights of the class were hypothesis testing, and I did not like probability.

    Hours per week:

    6-8 hours

    Advice for students:

    Do the homework. When professor asked how many people did all of the homework he assigned three days before the final exam. Only 3 out of 120 people raised their hand.

    • Spring 2017
    • Imannuel Williams
    • Great Intro to the Subject Go to Office Hours Participation Counts
    • Profile picture
    Apr 20, 2017
    | No strong feelings either way.

    Not too easy. Not too difficult.

    Course Overview:

    Most people have to take this class (or AMS 5). It is not that hard but also not easy. Studying is required for the exams and quizzes but all the material is stuff you have seen.

    Course highlights:

    Before this course, I did not know much about statistics and quantifying data. Now that I have taken this introductory course, all the research and data analysis that I have been helping work on makes so much more sense.

    Hours per week:

    3-5 hours

    Advice for students:

    Listen to lectures and study for the examsQ

    • Winter 2017
    • LelysBravoDeGuenni
    • Yes
    • Math-heavy Background Knowledge Expected Great Intro to the Subject

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