Analysis of previously gathered individual presentation data - Statistics Project Example

Part of the test statistics were to compare the performance of females versus males, the correlations amongst different types of presentation. Another test of interest was to ascertain whether the score in body language and voice of presenters displayed a difference in their mean. Generally, with regard to the performance of presenters in scope and Research of presentation, there was no much difference as displayed in Figure 2. However, female presenters registered poor performance (below a score of 2) in the scope presentation.

From Table 1 and Figure 3, mean scores for presentation with regard to body language, visual aids and timing parameters were 6.8, 7.1 and 7.1 respectively across gender. There were little deviations from the mean performance across the board with the highest deviation from the mean being 1.62 for the “timing” parameter. As an assessor, I registered a mean score of 6.22 on body language and 6.45, my highest mean score, on the scope of presentation. My minimum score and maximum score, as reveled in table 2 and Figure 4, on scope and research were 4 and 8 respectively.

Looking at Figure 5, my performance as a presenter was not that good compared to my performance as an assessor. This because I only scored 8 points, a presenter, on the scope of presentation compared to as an assessor where I scored 8 points on several occasions: both in scope and research. With regard to the different presentations, representation on technical literature review was on the lead with 58%. It was followed closely by presentation on international business at 41%. The least presentation was on any other test presentation that come a distance at 1%.

Borrowing from Boslaugh (2012), we needed to test whether there was mean difference between body language (coded as sample b) and voice (coded as sample v) across gender. As such, we needed to formulate our