Grade Distribution:
Homework: 10%
Labs: 10%
Weekly Quizzes: 10%
Midterm: 35%
Final Exam: 35%
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Overall, Dr. Maierhofer is a very engaging lecturer and although I personally didn't find STATS 10 to be very engaging it is clear that he wants his students to succeed in the class. First, he gives three extra credit opportunities by either winning the Kahoot in the lecture, finding a mistake in his slides, or the end of the quarter extra credit assignment. During lecture, he definitely tries to make class engaging and as a person who never took AP stats I struggled at first but it slowly became easier to understand. I didn't find the book helpful so I didn't buy it. The homework near the end of the quarter got harder but it was still pretty easy. The labs were probably the hardest part but the TAs essentially walk you step by step so its manageable (especially Makenna Pollon!) And the quizzes can be retaken, so you shouldn't get anything less than 100%. And the lowest homework, lab, and quiz are all dropped. Overall, what I struggled the most is the midterm and final exam. The test is around 33 multiple choice questions and Dr. Maierhofer was extremely generous in allowing us a one page cheat sheet. But you are only allowed an hour for the each exam. I really struggled with the time when taking both the midterm and final exam. However, I still think Dr. Maierhofer is the best teacher if you want to take STATS 10.
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GEs fulfilled by this class:
Foundations of Scientific Inquiry: Life Sciences
Foundations of Scientific Inquiry: Physical Sciences

Professor Maierhofer is an overall great teacher. His slides are well organized and he engages with his students often. This course might be called "Intro to Statistics", but honestly if you have never taken a stats class before, then you will definitely struggle. Maierhofer is a great professor, but his class is very fast-paced and if you're not good at math, I will definitely recommend that your go over each new topic regularly and that you study for the midterm and final 2-3 weeks in advance if you want to pass. I will say, the professor is very generous with his grading, he did not curve and I didn't pass either of the exams and I still got a C+. Be prepared to put your all into this class and try you're best to get a PLF!!

Professor was very kind and understanding. Homework was manageable and the textbook wasn't really needed as I found his slideshows sufficient. He also posts screenshots of the textbook questions for the homework assignments. Overall pretty easy course and both the midterm and final were all multiple choice and you are allowed a cheat sheet on both. He also gave an extra credit assignment at the end of the quarter that I would recommend doing. Make sure to attend all discussion sections to get the code for the labs.

STATS 10 is a good option for a science GE (and a tolerable prerequisite course), and Professor Maierhofer is a decent professor for it. This class will be a cakewalk content-wise if you took AP Stats. The only content that is not a retread of AP Stats is coding labs done in section, except the TAs do almost the entire lab in front of you, so it's basically impossible to mess up. Professor Maierhofer's lectures do an okay job explaining these concepts. He talks fast and can be a bit disorganized at times, but he does include some neat features like Kahoot practice questions. All lectures are recorded, but I would recommend attending lectures in person to do the Kahoots, as the winner of each lecture's Kahoot gets one percentage point added to their overall grade (maximum of five wins/five points). These points can be very valuable in helping your grade, as this class is mostly based on the midterm and final.

Coding labs (there are four, and they're all done in discussion section) are worth 10% of the grade, as are homework assignments (usually about five easy, fairly short free response questions out of the textbook) and practice multiple-choice quizzes with unlimited retakes. These assignments are all essentially free points. However, the remaining 70% of the grade is divided evenly between the midterm and final, both of which are between 30-35 multiple-choice questions. Essentially, every question on these exams is worth 1% of your grade, so you need to do well to get a good grade. Fortunately, aside from a couple of curveballs, they're quite easy and similar to the practice quiz questions. Study the practice quizzes, practice midterm/final, and review Kahoot questions to succeed. You also get a cheat sheet for these exams, so fill it with everything (especially formulas) you may forget.

A couple additional notes: First, there's a very easy one-percentage-point bonus assignment at the end of the quarter which boosts your overall grade by one percentage point. Second, don't buy the textbook. It rehashes lecture material, and the textbook homework problems are posted on BruinLearn, removing any need to consult the textbook unless you're really lost. Technically, you're supposed to read the textbook, but I didn't and don't think I missed out on any important information.

Overall, I recommend taking this class with Professor Maierhofer, especially if you've taken AP Stats and/or excel at multiple-choice tests. Take advantage of the extra credit and your cheat sheet and you should painlessly receive a high grade without too much work outside of class.

This class is an intro class so definitely on the easier side, but it is important to stay on track with assignments and labs, and avoid falling behind as much as possible because catching up is a lot of work. If you stay on top of course materials, this class should be okay for you!

Very easy class concept-wise but I would add a BEWARE. I took AP Stats before, had an A+ the entire time, loved stats, but this class was just structured a little differently. The class was relatively simple albeit a bit boring. The labs required coding which was confusing to newer coders but if you have a good TA (I had Klauss - ABSOLUTE goat) - it was definitely doable. The 8am lecture is definitely a bit dull; if you do take the class with Maierhofer, I would HIGHLY recommend taking advantage of the extra credit points and try to get top on the Kahoot so you could get those generous extra credit points. As one can see, the grading distribution is a bit discouraging; Maierhofer does not round (I think I had a 89.54 and he would not round up), and the grades aren't curved. It was a bit frustrating because the exams were out of about 32 points, so even if you get a couple questions wrong you're kinda screwed out of an A. Overall, take this class but be proactive and be wary for sure.

Easy class! Tests are MCQ and very similar to the Practice ones he gives. Go for all the discussions to make sure you do well in your labs. He also has an extra credit assignment at the end of the quarter which is very helpful. Definitely take this class if it's available.

I only recently found out this is only his first year teaching stats as a professor which honestly shocked me, because Professor Maierhofer's lectures are super organized and easy to follow. To be honest, the assigned readings weren't necessary prior to coming to class (or at all tbh), but they were good for previewing the lecture content and reading whenever I needed more clarification. There were assigned hw quizzes, 2 each week which were meant to be completed before each lecture, but the due date was Friday midnight (you can redo it as many times as you want so guaranteed 100.) He also records his lectures separately, but I found his class easier to follow in-person. The recordings are fine, but a little bland and hard to pay attention to. I'd never taken stats before and have very little coding experience, and didn't feel like I was ever struggling or falling behind. There were also several extra credit opportunities, and I feel like so long as you put the necessary work into it, you should get a good grade.

Maierhofer is a great professor! Very helpful, kind teacher that made me feel welcome asking questions. His daily Kahoot questions in class kept me engaged while not feeling too high-stakes, and despite having an 8am, it was worth it. My one suggestion is that sometimes we run out of time during class to finish the slides/lecture, which we end up having to cover at the beginning of the next lecture.

Professor Maierhofer is a very engaging lecturer who always delivers material, which can sometimes be challenging, in a clear and concise manner. He has a great understanding of statistics and is also very kind to his students, always encouraging them to come to office hours and seek help if needed. He is a great communicator and I loved the layout of his BruinLearn page, which allows students to ask questions on the class discussion board. The homework assignments and exams for this class were fair and an accurate portrayal of the content we learned during class. Despite not being a stats or math person, I absolutely loved taking this professor and I would absolutely recommend his class to anyone looking to fulfill the Stats 10 requirement.