5.6.1 The standard error of a difference between means is the standard deviation of the sampling distribution of the difference.5.6 Standard error of a difference between means.5.5.4 A plot of a “parametric” CI vs. bootstrap CI of the means.5.5.2 Interpretation of a confidence interval.5.4.1 An example of bootstrapped standard errors.5.3.2 Using R to generate fake data to explore the standard error.5.3.1 Using Google Sheets to generate fake data to explore the standard error.5.3 Simulations – using fake data as an intuition pump.5.1 Standard errors are used to compute p-values and confidence intervals.5 Variability and Uncertainty (Standard Deviations, Standard Errors, and Confidence Intervals).Part III: Some Fundamentals of Statistical Modeling.4.2.9 How to add the interaction effect to response and effects plots.4.2.8 How to combine the response and effects plots.4.2.6 How to generate a Response Plot with a grid of treatments using ggplot2.4.2.5 How to generate a Response Plot using ggpubr.4.2.4 How to use the Plot the Model functions.4.2.3 Be sure ggplot_the_model is in your R folder.4.1.3 Combining Effects and Modeled mean and CI plots – an Effects and response plot.4.1.2 Pretty good plot component 2: Modeled mean and CI plot.
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