In this section, you will find the slides used in our statistics webinars, designed to help you review the key concepts of data analysis.

 

Click on the titles to download the slides:

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• Chi-Square Test: method for testing associations between categorical variables, with practical examples for interpreting results.

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• T-Test: a technique for comparing the means of two groups, useful for assessing significant differences between samples in various practical contexts.

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• Linear Regression for Accurate Interpretations: analysis of reading speed using linear regression.

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• Missing Values: methods for handling missing values in data analysis.

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• Cluster Analysis: ian introduction to cluster analysis for data segmentation.

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• ANOVA: analysis of variance (ANOVA) to compare means across multiple groups.

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• Linear Regression: an introduction to linear regression for data analysis.

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• Statistics for Data Analysis Vs Spreadsheets: a comparison between statistical data analysis techniques and spreadsheet tools..

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• How to Choose a Statistical Test: an overview for selecting the appropriate statistical test based on context.

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• How to Process Questionnaire Data: analysis of data collected through questionnaires.

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• Statistics for Data Analysis @work: fundamental concepts in statistics for professional applications.