Review the data from the descriptive table(s) from your DPI Project Manuscript related to the sample population. Briefly describe the data shown in the table as if it were your oral defense. What aspects of the descriptive date must be clear to ensure no gaps for the audience?
Descriptive Data of Sample Population
The patients’ data were divided into comparative and implementation groups. The comparative group included 237 patients’ data, while the implementation group included 232 patients’ data. The demographic variables analyzed in this project included gender and ethnicity. The gender demographic consisted of 217 males and 252 females, for a total of 469 patients’ data. The ethnicity groups consisted of 192 Whites and 277 Blacks (see Table 1).
Table 1
Descriptive Date for Gender
Frequency Percent Valid Percent Cumulative Percent
Valid Male 217 46.1 46.3 46.3
Female 252 53.5 53.7 100.0
Total 469 99.6 100.0
Missing System 2 .4
Total 471 100.0
Summary of Gender Statistics for the Comparative and Implementation Groups
Table 2 below shows the descriptive statistics for the race identified in the patient’s data. Based on the findings, more than half of the patients’ data identified as Black (58.8%), while 40.8% identified as White.
Table 2
Descriptive Date for Race
Frequency Percent Valid Percent Cumulative Percent
Valid White 192 40.8 40.9 40.9
Black 277 58.8 59.1 100.0
Total 469 99.6 100.0
Missing System 2 .4
Total 471 100.0
Summary of Race Statistics for the Comparative and Implementation Groups
In the descriptive data of our sample population for the DPI Project Manuscript, we carefully analyzed the patients’ information, categorizing it into comparative and implementation groups. The comparative group consisted of data from 237 patients, while the implementation group comprised data from 232 patients. We focused on crucial demographic variables, particularly gender and ethnicity.
When examining the gender distribution, we found that the sample included a total of 469 patients’ data. Of this, 217 were identified as males, accounting for 46.3% of the total, and 252 were identified as females, making up 53.7%. This clear distribution reflects the representation of both genders in our study.
Moving on to ethnicity, we investigated the race categories in the patients’ data. The results revealed that the sample included a significant number of both White and Black patients. Of the total, 40.8% identified as White, with a count of 192 patients, while a substantial 58.8% identified as Black, constituting 277 patients. These figures offer a comprehensive overview of the racial composition within our study population.
To ensure that there are no gaps in the descriptive data for our audience, it is crucial to convey the clear division between the comparative and implementation groups. Emphasizing the representation of gender and ethnicity within each group is essential. Additionally, summarizing the key findings from the tables—highlighting the percentage and count of each category—will provide a comprehensive understanding of the sample population. By presenting this data effectively, we aim to provide our audience with a solid foundation for comprehending the demographic characteristics that underpin our DPI project.
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