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  2. Jul 28, 2022 · How hard is statistics? The answer: On the surface level, statistics looks hard only because of all the intimidating symbols. However, almost all of statistics can be boiled down to knowing which formula to use in different situations.

  3. Statistics is hard over and above any mathematical difficulty because it involves philosophy: how scientists and other users of statistics ought to analyze data. Moreover it says that all your intuitions are wrong, and you have to let statistics do your thinking for you.

    • Depth and Breadth of Knowledge Required. Statistics requires a good understanding of probability theory, linear algebra, calculus, and programming. All these topics are large in scope and require an extensive amount of knowledge.
    • Mastering Statistics Requires Reading Skills. Most of my students find learning statistics similar to learning a new language. Indeed, statistics is like learning a new language because it contains a lot of reading comprehension with a side of math.
    • Statistics Requires Practical Application. Unlike other subjects like mathematics or physics, which require mostly theoretical understanding, statistics also needs practical application.
    • Data Sets Can Be Complicated. Data sets can also vary greatly in complexity depending on what area they are used for. For example, data sets in finance or economics typically contain many more variables than those used in social sciences or engineering research.
  4. Statistics is really hard! The core of it challenges how you interpret and see the world. Each of the techniques you mention, ANOVA and regression and the chi square test are all really, really advanced techniques that are build up from core concepts in statistics.

  5. May 15, 2022 · Statistics is hard. Well-trained, experienced and knowledgeable statisticians disagree about standard methods. . . . The 2021 [American Statistical Association] task force statement states: “Indeed, P-values and significance tests are among the most studied and best understood statistical procedures in the statistics literature.”

  6. Nov 22, 2016 · One of the most important parts of lab was doing error analysis — and that meant applying basic statistical ideas like calculating averages and measures of variability (like standard...

  7. The Statistics Myth: Why Statistics Seems so Hard to Learn. by Karen Grace-Martin 27 Comments. There are probably many myths about statistics, but there is one that I believe leads to the most frustration in researchers (and students) as they attempt to learn and apply statistics.

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