Of the 85 males in this study, I have found that 21.18% of them used profanity, 28.24% of them used emojis, 35.29% of them used laughter representatives, and 25.88% of them used entirely capitalized words. Of the 89 females in this study, I have found that 10.15% of them used profanity, 42.70% of them used emojis, 47.19% of them used laughter representatives, and 30.34% of them used all capital letters. This can also be seen in the data table and bar graph below. This means that 11.03% more males used profanity than females. 14.46% more females used emojis than males. 11.90% more females used laughter representatives than males. 4.46% more females used all capital letters than males.

In looking a which gender tended to dominate conversations most often, I found that in looking at 24 mixed-sex conversations males spoke more. The average difference between the proportion of the conversation they contributed and the proportional number of males in the conversation ([observed proportion] - [expected proportion]) was 2.8%. The maximum amount by which males proportionally dominated the conversation was 21.43%. The maximum amount by which females proportionally dominated conversations was 15.10%. This can be seen in the data table and bar graph below.

    
  Of the 24 mixed-sex conversations observed, 14 of them were male dominated and 9 of them were female dominated and one was proportionally equal. Within the 14 male-dominated conversations, the average percentage of dominance was 8.80%. Within the 9 female-dominated conversations, the average percentage of dominance was 5.83%.

    
  In looking at the bar graph of conversational dominance, it is clear that the fifth, eleventh, thirteenth, fifteenth, eighteenth, nineteenth, and twentieth conversations are significant because they are the ones with the greatest dominance percentages. Respectively the gender ratios (male:female) for this conversations were 1:1, 5:4, 1:1, 1:3, 2:1, 2:1, and 2:1.