Average Rating
Course Difficulty
Easy 67%
Medium 33%
Hard 0%
Top Course Tags
Many Small Assignments
Background Knowledge Expected
Great Discussions
Pretty easy, overall.
Course Overview:
Statistics is the most reliable math class you can take because you actually use it in the real world. It is beneficial as it can be applied in other classes.
Course highlights:
Although there were many graphs and word problems, they were fairly simple. I learned how to conduct many different tests and a lot of ways to sample a population. Overall, this was the best math class I took since it can actually be useful compared to Calculus or Trigonometry.
Hours per week:
0-2 hours
Advice for students:
There were many different types of graphs, sampling methods, and tests that you need to know so you need to know the vocabulary and have good memory to remember and differentiate between them.
Not too easy. Not too difficult.
Course Overview:
I would definitely recommend this class because it's for both students who like working with numbers and those who like scenario based questions.
Course highlights:
This course helped me think outside of the box. I used to be really just focused on numbers and the surface of things but dealing with scenarios helped me dig deeper and figure out a solution without all those calculations.
Hours per week:
6-8 hours
Advice for students:
Note taking is definitely important and if you don't understand a certain chapter speak up because towards the end they all sort of connect.
Pretty easy, overall.
Course Overview:
AP Statistics is one of the most refreshing course on the campus! The subject is math, but the ideal concept is more than just probabilities. Upon taking this class, I learn the fundamental usage of statistics and its necessity in the real world. This class is less math-heavy based compared to many other mathematics class.
Course highlights:
Ideas probabilities are much more complicated than a integer over another number. There's formulas to calculate what happens in dependent and independent situations. Z-scores are a huge part of statistics. Z-score calculates how far a data point or value is from the actual average mean, the formula for calculating Z-scores is z=(observed value - population mean)/ standard deviation. Aside from learning about Z-scores, students also get to learn about different experimental designs (ex: block design experiment, double-blinded experiments) and how to identify and differentiate them.
Hours per week:
6-8 hours
Advice for students:
Study the materials, and don't give up when things turn rough. Practice makes perfect. Many of the materials can be logic through in the head, and always do your homework and ask questions in class if there's any confusion. Have fun!