Average Rating
Course Difficulty
Easy 8%
Medium 75%
Hard 17%
Top Course Tags
Math-heavy
Always Do the Reading
Great Intro to the Subject
Pretty easy, overall.
Course Overview:
I would recommend it because it's not that hard and it's very easy than I thought it would be.
Course highlights:
It wasn't the Statistics course than I thought it would be. Don't judge the course by the name.
Hours per week:
6-8 hours
Advice for students:
Ask questions as much as you can.
Not too easy. Not too difficult.
Course Overview:
Dr. Anewalt is thorough and concise. He is dedicated to ensuring that students absorb the material, and actually learn about Statistics rather than simply regurgitating material. He focuses on real-life applications rather than simply mathematical equations.
Course highlights:
I learned just how often I use Statistics in my life, even though I didn't call it Statistics. Comparison shopping, such as for college courses or a vehicle, finds its basis in Statistics.
Hours per week:
6-8 hours
Advice for students:
YouTube has many tutorial videos which saved my life in this class. Utilize the resources available, ask the instructor, but do not forget that there are outside resources which can be of great assistance in completing assignments.
Not too easy. Not too difficult.
Course Overview:
I recommend this course to anyone. This course is fast paced and the instructor makes it easy to learn. The break down keeps it from being intimidating.
Course highlights:
The highlights of this course for me were the math lab assignments. I got to learn at my own pace a little bit. There are still deadlines, but there are lots of practice homework assignments that help you to understand exactly what you need to know. Applied Statistics is a form of math but it is more common sense based.
Hours per week:
6-8 hours
Advice for students:
Keep on top of the assignment homework on MyMathLab. Also do any ungraded assignments. Do not hesitate to ask your instructor or a fellow classmate for help if you are having trouble understanding something.