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MATH 227 STATISTICS

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    4.5/5
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    • Hard 75%

  • Top Course Tags

    Many Small Assignments

    Math-heavy

    Great Intro to the Subject

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    • Profile picture
    Nov 14, 2017
    | Would highly recommend.

    This class was tough.

    Course Overview:

    Statistics 227 with Mr. Littig has proven to be a rather enjoyable class- which can be hard to believe for some, it being a math class. The class in of itself is very free- all homework is done online, so students can choose when and where they want to do it. The due dates for the work are such that it gives students plenty of time to complete the assignments- nothing is ever due on the day it is assigned. While the work can be tricky, since its done online- MyMathLab offers tips for the problems, as well as access to the E-Book. Buying the textbook isn’t necessary for the class- instead you can buy access to MyMathLab and get the E-Book, which is handy when you don’t have the space to carry around a textbook. The classroom itself is also very free and relaxing- each desk is equipped with a computer, so that students can do their homework in class if they wish. The chairs are office swivel-chairs- which are both comfy, and provide plenty of leg room. The class is a small room, and there aren’t too many students. Thus, it’s nice and quiet, and there is plenty of opportunity to ask the teacher for help. Mr. Littig is a very enjoyable professor- he is always willing to offer help, and is almost always in a good mood. He’s informative and helpful, as well as relaxed and at times comedic- which makes the class itself much more enjoyable. Mr. Littig also stays after class in the math lab at LAVC to provide further assistance, and is easily contactable by email. Statistics is not an easy course, but the classroom environment, structure, and professor make it a lot less stressful, and way more manageable.

    Course highlights:

    Statistics 227 is an intro to statistics course- and thus is important for all kind of majors, be it computer science, business, or bio engineering. The course itself is divided into five main segments: Data and Sampling, Descriptive Statistics and Graphing, Probability, Probability Distributions, and Inferential Statistics. Students learn to work with graphs, as well as learn how to analyze data- be it finding probability, testing hypothesis, or calculating the confidence interval of a claim. The course introduces important mathematical terms and equations, and in later chapters students learn how to apply these equations and knowledge to real-life data and statistics. Students also perform a surveys and data analyses of their own, which help foster an understanding of how surveys and sampling work, as well as how to read and analyze data. This knowledge helps both in their respective majors, as well as understanding statistics found in articles and studies. This is important, as it helps students better understand the data given to them, as well as have the knowledge to point out possibly false or skewed data.

    Hours per week:

    3-5 hours

    Advice for students:

    I highly recommend attending class every day (or as often as you can). This is true especially for difficult chapters- for Mr. Littig is always open to questions during class, and during class he explains the concepts, the problems, and how to solve them. The statistics workbook is a great tool for learning the concepts- but if you’re ever stuck, you can always consult the E-Book, or talk to Mr. Littig directly. He is always open to help, so I highly encourage this. Whether it be talking to him after class, in the math lab, or by email- don’t be afraid to ask for help. When it comes to studying, you can review and practice on MyMathLab, which can generate an infinite number of problems for you to work on for practice. When it comes to homework, you have plenty of time to do it- but stay on top of the Canvas work. I know from experience- it’s not a good idea to wait until the midterm to complete it all. The Canvas work is relatively easy- it all being review from the class- so a little bit a day can help you keep on top of it. There are plenty of resources available, so feel free to use them. Be it the websites, the E-Book, or asking for help from the professor- using these resources helps with both understanding the material and managing the classwork.

    • Fall 2017
    • Adam Littig
    • Math-heavy Great Intro to the Subject Many Small Assignments
    • Profile picture
    Apr 11, 2017
    | Would recommend.

    This class was tough.

    Course Overview:

    It is a difficult class I always needed help but just invest more time into learning about it and reading the book.

    Course highlights:

    Once you learn the process it becomes more interesting.

    Hours per week:

    6-8 hours

    Advice for students:

    Always study because it requires a lot of math

    • Fall 2015
    • Adam Littig
    • Yes
    • Math-heavy Always Do the Reading Requires Lots of Research
    • Profile picture
    Mar 05, 2017
    | Would recommend.

    This class was tough.

    Course Overview:

    This course covers all the fundamentals of Statistics in a very understandable and even-paced format.

    Course highlights:

    Applicable especially in the current marketing industry with the surge of importance of data analytics.

    Hours per week:

    6-8 hours

    Advice for students:

    Even if you are not a Math person (which I am not), Statistics will serve you well in almost any industry, so it is a wise investment.

    • Fall 2016
    • Professor
    • Math-heavy Great Intro to the Subject Many Small Assignments

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