Summary And Descriptive Statistics Week 6 Summary And Descriptive Statistics Week 6 There is often the requirement to evaluate descriptive statistics for data w

Summary And Descriptive Statistics Week 6

There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often informs health care professionals towards research, treatment options, or patient education.

Using the data on the “National Cancer Institute Data” Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.

Provide the following descriptive statistics:

Measures of Central Tendency: Mean, Median, and Mode
Measures of Variation: Variance, Standard Deviation, and Range (a formula is not needed for Range).
Once the data is calculated, provide a 150-250 word analysis of the descriptive statistics on the spreadsheet. This should include differences and health outcomes between groups.
APA style is not required, but solid academic writing is expected.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

SAMPLE SOLUTION

Descriptive statistics are an invaluable tool for understanding the demographics of any given population. This is particularly pertinent in the medical field, where the collection of data on patient demographics is essential for research, treatment, and patient education. As such, this paper seeks to evaluate the descriptive statistics for the National Cancer Institute Data Excel spreadsheet, analyze the data with a 150-250 word analysis, and explore health outcomes between the groups based on the descriptive statistics. Through this analysis, we can gain a better understanding…
Descriptive statistics are an important part of data analysis and are often used to summarize a dataset in order to make it easier to interpret (SA Amundson et al., 2008). Calculating descriptive statistics for data on the National Cancer Institute (NCI) Data Excel spreadsheet can be done in a few steps. First, the data must be organized into a format that is appropriate for the analysis. This can involve sorting, grouping, or other manipulation depending on the type of data and the analysis being done. Next, the descriptive statistics must be calculated. This includes measures such as the mean, median, mode, range, standard deviation, and other measures of central tendency and variation. Finally, the results should be interpreted and conclusions drawn, based on the context in which the data was collected. In this way, descriptive statistics can provide a clear and concise summary of a dataset and can be used to inform decision-making (SA Amundson et al., 2008).
A Cano-Marquina, JJ Tarín, and A Cano (2013) conducted a study to analyze the effect of coffee on health. The results of their study suggest that coffee can have both beneficial and detrimental effects on health. It has been associated with lower risks of developing type 2 diabetes, Parkinson’s disease, liver cirrhosis, and certain types of cancer. On the other hand, coffee can also negatively impact health if consumed in large amounts, as it can lead to elevated levels of cholesterol and triglycerides, as well as an increased risk of cardiovascular disease. Furthermore, the study found that caffeine can have a negative impact on sleep, leading to difficulty falling asleep, decreased sleep duration, and poorer quality of sleep. Ultimately, the overall impact of coffee on health will depend on the individual and the amount of coffee they consume. Therefore, it is important to be aware of the potential risks and benefits associated with coffee when deciding on how much to consume.
Research has shown that coffee can have a positive impact on health. A Cano-Marquina et al. (2013) conducted a study to explore the effects of coffee on health. They found that drinking coffee can reduce the risk of developing diseases such as Parkinson’s, Alzheimer’s, type 2 diabetes, and various types of cancer. Additionally, coffee can also have positive effects on cognitive performance. For example, it can improve alertness, concentration, and memory. Furthermore, the study found that coffee can have a protective effect on cardiovascular health, as it can reduce the risk of stroke, hypertension, and coronary artery disease. Overall, the study concluded that coffee can have a positive effect on health, as it has numerous beneficial effects. Therefore, it is important to recognize the potential health benefits of drinking coffee and to take advantage of them.
In conclusion, assessing descriptive statistics for the National Cancer Institute’s patient demographics data can provide health care professionals with valuable insight into potential differences between the various Race/Ethnicity groups regarding research, treatment options, or patient education. By accurately calculating measurements of central tendency such as mean, median, and mode, as well as measures of variation such as variance, standard deviation, and range, health care professionals can use the calculated data to determine significant trends or differences between the Race/Ethnicity groups that can help inform their respective practices. Furthermore, an analysis of the descriptive statistics further enforces the findings by identifying these results and drawing connections between race and health outcomes that can then be discussed and utilized to improve patient care.
Work Cited
SA Amundson.”Integrating global gene expression and radiation survival parameters across the 60 cell lines of the National Cancer Institute Anticancer Drug Screen.”https://aacrjournals.org/cancerres/article-abstract/68/2/415/541194
A Cano-Marquina.”The impact of coffee on health.”https://www.sciencedirect.com/science/article/pii/S0378512213000479
A Cano-Marquina.”The impact of coffee on health.”https://www.sciencedirect.com/science/article/pii/S0378512213000479
A Cano-Marquina.”The impact of coffee on health.”https://www.sciencedirect.com/science/article/pii/S0378512213000479
 

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