lectures.alex.balgavy.eu

Lecture notes from university.
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      1 +++
      2 title = 'Statistical Methods'
      3 +++
      4 
      5 # Statistical Methods
      6 
      7 1. [Introduction: Data](introduction-data)
      8 2. [Summarising data](summarising-data)
      9 3. [Probability intro](probability-intro)
     10 4. [Discrete probability distributions](discrete-probability-distributions)
     11 5. [Continuous probability distribution](continuous-probability-distribution)
     12 6. [Sampling distributions & estimators](sampling-distributions-estimators)
     13 7. [Hypothesis testing](hypothesis-testing)
     14 8. [Relationships between variables](relationships-between-variables)
     15 9. [Testing characteristics of samples (goodness-of-fit, independence, homogeneity)](testing-characteristics-of-samples)
     16 
     17 Overview of statistical methods:
     18 
     19 <table>
     20 <tr><th></th><th>Categorical data</th><th>Numerical data</th></tr>
     21 <tr><td>inference about one population</td><td>confidence interval for p.<br>z test for one proportion p. goodness-of-fit test</td><td>confidence interval for μ.<br>t test for mean</td></tr>
     22 <tr><td>inference about two populations</td><td>confidence interval for p₁ - p₂<br>Z test for two proportions</td><td>t test for matched pairs<br>t test for independent samples</td></tr>
     23 <tr><td>relationship between two variables</td><td>chi-square test of independence<br>Fisher’s exact test</td><td>t test of correlation<br>simple linear regression</td></tr>
     24 <tr><td>comparing more than 2 populations</td><td>chi-square test for homogeneity</td><td> </td></tr>
     25 </table>