Update README.md

README.md

@@ -59,7 +59,7 @@ You can visualise either the distribution of shot lengths or the time series of
 
 Two groups of films can also be visualised by selecting different groups of films from a single csv file. Results will be bsaed on groups rather than on individual films.
 
-The visualisations you can select from include adjusted boxplots, kernel desnities, histograms, empirical cumulative distribution functions, quantile comparison plots, heatmaps, multiple loess smoothers, and counting process plots.
+The visualisations you can select from include adjusted boxplots, kernel densities, histograms, empirical cumulative distribution functions, quantile comparison plots, heatmaps, multiple loess smoothers, and counting process plots.
 
 ### Summaries
 In addition to visualising your shot length data, **SLviz** will also return the five-number summary for each film. For pairwise comparisons of shot length data, [Cliff's *d*](https://www.academia.edu/8551326/Comparing_the_Shot_Length_Distributions_of_Motion_Pictures_Using_Dominance_Statistics) statistic is returned as a measure of the extent to which shots in one film tend to have longer duration than shots in another film, along with the [Hodges-Lehmann difference](https://www.academia.edu/8551326/Comparing_the_Shot_Length_Distributions_of_Motion_Pictures_Using_Dominance_Statistics).