Statistical Sciences 1024A/B Chapter Notes - Chapter 4 & 6: Scatter Plot, Confounding, Categorical Variable
19 Sep 2018
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Margins show the total for each column and each row. Marginal distributions distribution of column variable or row variable separately expressed in counts or percentages. Conditional distribution distribution of values of the column/row variable under a specific condition, namely the row category. Row variable explanatory variable (parents who smoke) Column variable response variable (students who smoke) & neither parents) are very different from the marginal one at the bottom. When two or more conditionals differ from each other & from the marginal association. Si(cid:373)pso(cid:374)"s paradox a lurking variable can affect the relationship between two quantitative or categorical variables. Variable 3 age group at the time of the original survey. 2-way table ignored the third variable age. Between quantitative variables side by side box plots can show us that. Shape right/left skewed, bell curve, symmetric. Trend long-term upward or downward movement. Cycles regular up & down movements (sometimes called seasonality) Change points changes in overall pattern.
