Titlebook: Statistics Applied with the R Commander; Data Analysis Is (No Franz Kronthaler Textbook 20241st edition The Editor(s) (if applicable) and T

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R and R Commander: A Brief IntroductionBefore we get to the installation and description of R and the R Commander, I would like to provide some information about R.

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Correlation: From RelationshipsThe correlation or the calculation of the relationship is another central concept of statistics, in addition to averages, variation, and frequencies. Here we ask about a relationship between two variables, for example, the number of cheeseburgers that people eat per week and the amount of bacon they carry around their waist.

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Ratios and Indices: The Opportunity to Generate New Knowledge from Old?OnesSo far, we have analyzed variables that are available. But what if the information is not yet available, but is hidden in our data. We can then generate the information from our existing variables by putting variables in relation to each other or weighting them.

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Hypothesis Testing: What Applies?We now know what a hypothesis is, we also know about?important test distributions. What we do not yet know is how to test hypotheses using the test distributions and generate statements about our population. The aim of this chapter is to learn exactly that. We clarify the term statistical significance.

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The Test for a?Difference Between Means with Independent Samples?or Independent Samples?t-TestIn the last chapter, we pursued the question of how old our company founders are on average, and we conducted a test for a group mean. We can expand this question. For example, we might be interested in whether women are older than men when founding a company.

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Franz KronthalerNon-mathematical, hands-on approach with a focus on application.Applicable in a wide variety of disciplines, as statistical methods are discussed using an easily exchangeable data set.Request lecturer

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https://doi.org/10.1007/978-3-662-69107-6Applied statistics; Data Analysis; R and the R Commander; Statistical concepts; ANOVA; Analyze data sets