Moving on from the previous lesson, you will now learn how to view the differences between files in your repository. More appropriately, you will learn to view the differences between one version of the files in your repository and another version of the files in your repository. As you get more familiar with Git, you will find yourself using this
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In the previous post we learned that inferential statistics uses information from individuals observed in a sample to provide information about other individuals in the population that were not observed. A description of the population provides information about all individuals. But how is a sample or population described, and how are sample data used to make inferences about a population?
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Great work! In the last lesson you learned to use git add <filename> to add a file to the staging area of your repository, and then git commit to permanently save these changes. That cycle – make changes, add changes, commit changes – is fundamental to the Git workflow and we will revisit it several more times over the course
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Blind analysis does not refer to closing your eyes, crossing your fingers and hitting GO! on your statistical analysis! In a previous post, I highlighted an article published in Nature on cognitive biases and their impact on reproducible science. Various debiasing techniques have been proposed to tackle this issue, including blind data analysis. This technique was new to me, so
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Scientists ask questions about the world, design experiments, and use experimental findings to work out answers. In an experiment, descriptive statistics are used to summarise and describe observations from a sample (e.g., honey bees in Paris, voters from 5 electorates). However scientists are more interested in the population from which the sample was drawn (e.g., all honey bees in Europe,
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In the previous lesson, you created a new folder called project_repo that contained a file called doc1.txt. You then initialized the folder as a repository by running the command git init in that folder. Subsequently, Git started to monitor everything in your repository: new files, deleted files and changed files. You also learned how to check the current state of
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Scientifically Sound 