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AMS 7 Statmthdsbio Env Hlth

  • School:
    *
  • Professor:
    {[ professorsList ]}
    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
  • Average Course Rating (from 5 Students)

    3.5/5
    Overall Rating Breakdown
    • 5 Advice
    • 5
      0%
    • 4
      40%
    • 3
      60%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 20%

    • Medium 80%

    • Hard 0%

  • Top Course Tags

    Great Intro to the Subject

    Go to Office Hours

    Math-heavy

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    • 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
    • Profile picture
    Nov 13, 2016
    | No strong feelings either way.

    Not too easy. Not too difficult.

    Course Overview:

    It's just one of those classes you have to take to proceed. It's a good class that provides real life examples but most lectures are taught straight out of the book and by powerpoint. Everything builds off of each other so don't fall behind because the course final is cumulative!

    Course highlights:

    I honestly cannot think of many highlights in this course since I am not the biggest fan of math.

    Hours per week:

    6-8 hours

    Advice for students:

    Be thorough with the homework and make sure to do everything well because many of the exam and quiz questions come from the book. Also the tophat program is a bit tricky so make sure to answer all questions.

    • Fall 2016
    • LelysBravoDeGuenni
    • Yes

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