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Statistics and Statistical Programming (Fall 2020)/pset6
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=== PC2. Summarize the data === Using the two columns you just created, create summary statistics and visualizations for the dataset as a whole and for each of the groups. These descriptive analyses should give you a sense of the shape of the data and relationships across groups. ==== SQ1. Discuss your descriptive analysis ==== Be sure to interpret anything noteworthy. ==== SQ2. State hypotheses ==== The plan here is to use ANOVA to evaluate whether there is a difference in survival time between the groups and then t-tests to compare the average survival times across some specific groups (see PC4 below for more details on which groups). State null and alternative hypotheses that correspond to these tests. ==== SQ3. Address assumptions for the tests ==== Identify any assumptions you may need to make to conduct the ANOVA analysis and t-tests. Do these tests seem appropriate here? Why (not)?
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