Data Simulation
We simulate performance data for both women and men across three aspects of multitasking:
Task Switching Speed: The speed at which individuals can switch between tasks.
Attention Allocation: The efficiency in distributing attention across multiple tasks.
Task Completion Time: The time taken to complete tasks.
For each aspect, performance data for women and men are generated using normal distributions with specified means and standard deviations:
Task Switching Speed: Women (mean = 0.8, std dev = 0.1), Men (mean = 0.6, std dev = 0.1)
Attention Allocation: Women (mean = 0.8, std dev = 0.1), Men (mean = 0.6, std dev = 0.1)
Task Completion Time: Women (mean = 10, std dev = 2), Men (mean = 12, std dev = 2)
Summary Statistics
Summary statistics for each aspect are calculated to provide insights into the central tendencies and variability of performance for both genders. These include the mean, median, and standard deviation.
Task Switching Speed:
Women: Mean = 0.808, Median = 0.822, Std Dev = 0.097
Men: Mean = 0.600, Median = 0.593, Std Dev = 0.100
Attention Allocation:
Women: Mean = 0.823, Median = 0.814, Std Dev = 0.101
Men: Mean = 0.607, Median = 0.613, Std Dev = 0.103
Task Completion Time:
Women: Mean = 10.135, Median = 10.153, Std Dev = 2.129
Men: Mean = 11.687, Median = 11.500, Std Dev = 1.806
These statistics are used to compare the performance of women and men, highlighting differences in their multitasking abilities.
Hypothesis Testing
To determine if the observed differences in performance are statistically significant, t-tests are conducted for each aspect. The p-values obtained from these tests indicate the significance of the differences:
Task Switching Speed: p-value = 1.294e-17
Attention Allocation: p-value = 1.249e-17
Task Completion Time: p-value = 0.000183
A p-value less than 0.05 suggests that the differences are statistically significant, meaning that the observed performance differences between women and men are unlikely due to random chance.
Graphical Representations
Histograms are created for each aspect to visualize the distribution of performance scores for women and men. These graphs provide a clear and intuitive understanding of the differences in multitasking performance.