Watch Three Videos On Measure Of Center And Mean ✓ Solved

Watch Three Videos Measure Of Center Mean Measure Of Center Me

Watch three videos ("Measure of Center 'Mean,'" "Measure of Center 'Median,'" and "Measure of Center 'Mode'") in the Calculations section of "The Visual Learner: Statistics," located in the Topic 2 Resources. Go to the Random.org website, provided in the Topic 2 Resources, to generate a set of random numbers. Click on the "Get Sets' link at the bottom left of the page to generate some data. (Note: If you are not able to access the link, you can randomly generate 10 numbers yourself for this calculation.) Imagine these numbers are the care satisfaction scores from a recent sample of discharged patients. Randomly select one row of numbers to use for the following calculations: What was the mean? What was the median? What was/were the mode/s? Given that the range of data was between 1 and 20, what do these numbers tell you about the overall satisfaction of the patients? If you were reporting these scores back to your supervisor, how would you explain or interpret these satisfaction scores? Initial discussion question posts should be a minimum of 200 words and include at least two references cited using APA format. Responses to peers or faculty should be words and include one reference. Refer to "Discussion Question Rubric" and "Participation Rubric," located in Class Resources, to understand the expectations for initial discussion question posts and participation posts, respectively.

Sample Paper For Above instruction

The analysis of patient satisfaction scores provides valuable insights into the quality of care and patient perceptions within a healthcare setting. To explore these scores, I first generated a set of ten random numbers using the Random.org website, which served as the hypothetical satisfaction scores of discharged patients. The scores selected were 12, 15, 7, 19, 3, 16, 10, 8, 14, and 20. These data points fall within the established range of 1 to 20, offering an appropriate sample for analysis.

Calculating the mean involves summing all the scores and dividing by the total number of scores. Specifically, the sum of the scores is 12 + 15 + 7 + 19 + 3 + 16 + 10 + 8 + 14 + 20 = 124. Dividing this total by 10 yields a mean satisfaction score of 12.4. The mean provides a central value indicating the general level of patient satisfaction across the sampled group. A score around 12.4 suggests a moderate level of satisfaction, neither too high nor too low.

The median score—representing the middle value when the data are ordered—is determined by first arranging the scores from lowest to highest: 3, 7, 8, 10, 12, 14, 15, 16, 19, 20. With an even number of data points, the median is calculated as the average of the fifth and sixth scores, which are 12 and 14. Thus, the median satisfaction score is (12 + 14) / 2 = 13. This median indicates that half of the patients provided satisfaction scores below 13 and half above, reinforcing the impression of moderate satisfaction levels.

Examining the mode reveals the most frequently occurring score(s). In this dataset, each number appears only once, resulting in no mode. The absence of a mode indicates a diverse range of satisfaction experiences among patients, without a common score dominating the responses.

Understanding the range—20 - 3 = 17—helps contextualize the data, especially considering the scores are within 1 to 20. The spread suggests considerable variability in patient satisfaction, which could be attributed to differences in individual experiences or expectations. Analyzing these scores enables healthcare administrators to identify areas needing improvement and to develop strategies aimed at enhancing overall satisfaction.

When reporting these findings to a supervisor, I would highlight that the average satisfaction score (~12.4) indicates a moderate level of patient contentment. The median score (13) supports this interpretation, and the wide range emphasizes variability. This analysis suggests targeted efforts are necessary to elevate patient satisfaction, perhaps through personalized care interventions or improved communication strategies.

References

• Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for The Behavioral sciences (10th ed.). Cengage Learning.
• Levin, J., & Rubin, D. (2017). Statistics for Management (8th ed.). Pearson Education.