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Statistics Basics: Significance, Variables, Data & Information

by Raywat Deonandan, PhD
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    Hello and welcome to epidemiology. You know when a lot of people think about epidemiology, they tend to conflate it with statistics and in fact they think epidemiologists are sometimes statisticians and that's a mistake. We use statistics as a tool in what we do, but we're not statisticians. We do however like to understand what statistics is all about. Now I'm not a fan of statistics, I don't think I'm very good at it and yet I teach it, and I've got a PhD in biostatistics, that should tell you something, it should tell you that if you are not confident in this topic, it's okay, it's okay to stumble through it, you will be fine and because I'm fine with it as well, it's not that difficult. Today we're going to learn about the meaning of P-values and confidence intervals and the null hypothesis. These are the foundation for what we call frequentist statistics. We're also going to learn about the differences between data and information and what makes data into information. And we're going to learn about the differences between different types of variables, the kinds of variables that exist tell us what kind of statistical tests we want to apply. So as I mentioned there is a close relationship between epidemiology and statistics, but they are not the same thing, statistics is a tool used by epidemiologists. What are these numbers, 53, 61 and 62, absent of any context, they mean nothing to you, you could perform math on them, you can compute their mean, their differences, you can add them all up and multiply it by something else, that doesn't give you any information. But if I tell you that these are the ages of Barack Obama, Angela Merkel and Vladimir Putin as of mid-2015,...

    About the Lecture

    The lecture Statistics Basics: Significance, Variables, Data & Information by Raywat Deonandan, PhD is from the course Statistics: Basics. It contains the following chapters:

    • Epidemiology and Statistics
    • Types Of Variables
    • Dichotomous Variables
    • The Null Hypothesis
    • The p-Value
    • Confidence Intervals
    • Learning Outcomes

    Included Quiz Questions

    1. Categorical
    2. Nominal
    3. Continuous
    4. Ordinal
    5. Ratio or interval
    1. Inferential statistics
    2. Descriptive statistics
    1. t-test
    2. chi-square
    3. ANOVA
    4. Correlation
    5. Regression

    Author of lecture Statistics Basics: Significance, Variables, Data & Information

     Raywat Deonandan, PhD

    Raywat Deonandan, PhD


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