STATS 10
Introduction to Statistical Reasoning
Description: Lecture, three hours; discussion, one hour; computer laboratory, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 12, 13, or 15. Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, regression as descriptive tool. P/NP or letter grading.
Units: 5.0
Units: 5.0
3 of 5
Most Helpful Review
Winter 2024 - 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.
Winter 2024 - 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.
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Most Helpful Review
Prof Paul is just a nice guy who really enjoys stats. I admit, sometimes he chooses not to comment on some questions because he does not know the answer, but really, this is an intro course, and that's exactly what he teaches you. I thought he did an excellent job of explaining why calculations were done and the reasons behind certain processes. I hated stats because all I knew how to do were mechanical calculations the book told me to do, but now I actually understand why they are done. The exams are easy, and I disagree with the other person that said he never taught what he tested on. If you go to lecture, he gives examples and if you bother to write them down, you'll notice that he uses those exact examples with different numbers on the tests. Sure he might not be the smartest guy, but he knows how to teach you what you need to know for stats 10.
Prof Paul is just a nice guy who really enjoys stats. I admit, sometimes he chooses not to comment on some questions because he does not know the answer, but really, this is an intro course, and that's exactly what he teaches you. I thought he did an excellent job of explaining why calculations were done and the reasons behind certain processes. I hated stats because all I knew how to do were mechanical calculations the book told me to do, but now I actually understand why they are done. The exams are easy, and I disagree with the other person that said he never taught what he tested on. If you go to lecture, he gives examples and if you bother to write them down, you'll notice that he uses those exact examples with different numbers on the tests. Sure he might not be the smartest guy, but he knows how to teach you what you need to know for stats 10.
Most Helpful Review
Professor Read is one of the worst professors I've taken this year. Not only is he absolutely boring but he makes everything seem harder and more tedious than it really is. I didn't know one person in the class who understood what he was doing. His notes don't correspond with the homework and neither the notes nor the homework correspond with the tests. If possible, stay away from this guy's class.
Professor Read is one of the worst professors I've taken this year. Not only is he absolutely boring but he makes everything seem harder and more tedious than it really is. I didn't know one person in the class who understood what he was doing. His notes don't correspond with the homework and neither the notes nor the homework correspond with the tests. If possible, stay away from this guy's class.
Most Helpful Review
Fall 2015 - I am a stats major so I knew everything before the course. Had I not been a stats major, I would not have been able to follow the course because the Professor has no idea what he is talking about. Plus, he doesn't understand some of the concepts he teach (standard error vs standard deviation and anova and such) so it is painstaking watching him crash and burn. If I met him outside of class, I wouldn't have noticed him.
Fall 2015 - I am a stats major so I knew everything before the course. Had I not been a stats major, I would not have been able to follow the course because the Professor has no idea what he is talking about. Plus, he doesn't understand some of the concepts he teach (standard error vs standard deviation and anova and such) so it is painstaking watching him crash and burn. If I met him outside of class, I wouldn't have noticed him.
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