Study list for exam 1
The R functions we have discussed so far these few weeks:
| functions | operators | pipes |
| filter() | %/% | %>% |
| distinct() | %% | “+” |
| count() | != | |
| select() | rowSums() | |
| mutate() | colSums() | |
| View() | ||
| glimpse() | ||
| pivot_wider() | ||
| group_by() | ||
| chisq.test() | ||
| ggplot() | ||
| geom_hist() | ||
| geom_bar() | ||
| geom_point() | ||
| labs() | ||
| facet_wrap() |
Benefits and downsides of these visualization methods: histogram and boxplot.
Conditional probability tables - which variable is it conditioned on.
Mean, median, mode and which is best in skewed distributions. Identify in a plot
Measures of spread: standard deviation, variance, quartiles, percentiles, interquartile range.
Chi-squared expected counts given a contingency table of counts.
Independent events
Disjoint events
Venn diagrams
Compliment
The three laws of probability - Kolomogorov’s axioms
Classification of variables